Auswahl der wissenschaftlichen Literatur zum Thema „Computer aided diagnosis tools“
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Zeitschriftenartikel zum Thema "Computer aided diagnosis tools"
Mun, Seong K., und Dow-Mu Koh. „Special Issue: “Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging”“. Diagnostics 12, Nr. 6 (27.05.2022): 1331. http://dx.doi.org/10.3390/diagnostics12061331.
Der volle Inhalt der QuelleIoanovici, Andrei-Constantin, Andrei-Marian Feier, Ioan Țilea und Daniela Dobru. „Computer-Aided Diagnosis in Colorectal Cancer: Current Concepts and Future Prospects“. Journal of Interdisciplinary Medicine 2, Nr. 3 (01.09.2017): 245–49. http://dx.doi.org/10.1515/jim-2017-0057.
Der volle Inhalt der QuelleMolino, F., D. Furia, F. Bar, S. Battista, N. Cappello und G. Molino. „Computer-Aided Diagnosis in Jaundice: Comparison of Knowledge-based and Probabilistic Approaches“. Methods of Information in Medicine 35, Nr. 01 (Januar 1996): 41–51. http://dx.doi.org/10.1055/s-0038-1634634.
Der volle Inhalt der QuelleBartolini, Ilaria, und Andrea Di Luzio. „CAT-CAD: A Computer-Aided Diagnosis Tool for Cataplexy“. Computers 10, Nr. 4 (13.04.2021): 51. http://dx.doi.org/10.3390/computers10040051.
Der volle Inhalt der QuelleJiménez-Gaona, Yuliana, María José Rodríguez-Álvarez und Vasudevan Lakshminarayanan. „Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review“. Applied Sciences 10, Nr. 22 (23.11.2020): 8298. http://dx.doi.org/10.3390/app10228298.
Der volle Inhalt der QuelleLee, Juhun, Robert M. Nishikawa, Ingrid Reiser und John M. Boone. „Optimal reconstruction and quantitative image features for computer-aided diagnosis tools for breast CT“. Medical Physics 44, Nr. 5 (13.04.2017): 1846–56. http://dx.doi.org/10.1002/mp.12214.
Der volle Inhalt der QuelleRibeiro, Ricardo T., Rui Tato Marinho und J. Miguel Sanches. „An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection“. IEEE Journal of Biomedical and Health Informatics 18, Nr. 4 (Juli 2014): 1397–403. http://dx.doi.org/10.1109/jbhi.2013.2284785.
Der volle Inhalt der QuelleG. P, Vishnu Prasad, Kurapati Vishnu Sai Reddy, A. M. Kiruthik und Dr J. Arun Nehru. „Prediction of Kidney Stones Using Machine Learning“. International Journal for Research in Applied Science and Engineering Technology 10, Nr. 5 (31.05.2022): 1037–44. http://dx.doi.org/10.22214/ijraset.2022.42416.
Der volle Inhalt der QuelleSantos, Marcel Koenigkam, José Raniery Ferreira Júnior, Danilo Tadao Wada, Ariane Priscilla Magalhães Tenório, Marcello Henrique Nogueira Barbosa und Paulo Mazzoncini de Azevedo Marques. „Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine“. Radiologia Brasileira 52, Nr. 6 (Dezember 2019): 387–96. http://dx.doi.org/10.1590/0100-3984.2019.0049.
Der volle Inhalt der QuelleOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang und Kang Ryoung Park. „Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation“. Journal of Medical Internet Research 22, Nr. 11 (26.11.2020): e18563. http://dx.doi.org/10.2196/18563.
Der volle Inhalt der QuelleDissertationen zum Thema "Computer aided diagnosis tools"
Hoh, See Min. „Condition monitoring and fault diagnosis for CNC machine tools“. Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295120.
Der volle Inhalt der QuelleCoxon, Andrew. „Computer aided analysis of paraspinal electromyography“. Thesis, Teesside University, 2013. http://hdl.handle.net/10149/301616.
Der volle Inhalt der QuelleLuther, Ilse. „Semen characteristics of free-ranging African elephants (Loxodonta africana) and Southern white rhinoceros (Ceratotherium simum simum) using Computer-aided sperm analysis, Electron microscopy and Genomics as diagnostic tools“. University of the Western Cape, 2016. http://hdl.handle.net/11394/5443.
Der volle Inhalt der QuelleThe survival of free-ranging (in situ) African elephant and Southern white rhinoceros populations are currently being challenged on a daily basis in Africa. Reproductive health is considered a vital component of species conservation. Conservation of the last mega land mammals may ultimately require intervention by breeding management or combined with assisted reproductive technologies (ART). There is a strong case for gathering baseline information, both physiological and biological, of any species, as opportunities arise. During this study a total number of 21 ejaculates collected over two seasons from 12 free-ranging African elephant bulls were characterised, as well as 10 ejaculates collected from 10 free-ranging Southern white rhinoceros bulls from two populations. Ejaculates were collected from adult bulls by means of electroejaculation under anaesthesia. Routine semen analysis was combined with Computer-aided sperm analysis (CASA), Computer-aided sperm morphology analysis (CASMA), Transmission electron microscopy (TEM) and Genomics as diagnostic tools. Additionally, sperm functionality within different media was investigated and sperm subpopulation classification according to the motion pattern displayed. The results presented is based on the evaluation and classification of ≈ 45 000 individual African elephant spermatozoa and ≈ 18 000 individual Southern white rhinoceros spermatozoa. The average elephant ejaculate contained a total number of 47 x 10⁹ spermatozoa (volume of 56 ± 38mL x concentration of 818 ± 750 x 10⁶/mL) that recorded a total motility of 81 ± 29% of which 62 ± 26% were progressively motile. CASA recorded velocities for curvilinear velocity (VCL 241 ± 58μm/s), straight-line velocity (VSL 173 ± 181μm/s) and average path velocity (VAP 201 ± 54μm/s), and kinematics at straightness of track (STR 86 ± 85%), linearity of track (LIN 67 ± 16%), amplitude of lateral head displacement (ALH 4 ± 0.75μm) and beat cross frequency (BCF 21 ± 3Hz). Structural analysis revealed 68 ± 11% of the spermatozoa were viable (intact plasma membrane) and 77 ± 11% maintained acrosome integrity. Ejaculates contained 55 ± 14% morphologically normal spermatozoa, CASMA measured sperm head lengths at 6.83 ± 0.26μm and width 3.32 ± 0.18μm (total head area of 20.17 ± 1.96μm²) of which 38.95 ± 0.92% is covered by an acrosomal cap. The average rhinoceros ejaculate contained a total number of 1.1 x 10⁹ spermatozoa (volume of 24 ± 24mL x concentration of 83 ± 96 x 10⁶/mL) that recorded a total motility at 82 ± 8% of which 28 ± 23% were progressively motile. CASA recorded velocities for VCL (85 ± 29μm/s), VSL (44 ± 25μm/s) and VAP (69 ± 30μm/s, and kinematics at STR (63 ± 14%), LIN (51 ± 16%), ALH (2 ± 0.16μm) and BCF (16 ± 6Hz). Structural analysis revealed 73 ± 10% of the spermatozoa were viable (intact plasma membrane) and 76 ± 4% maintained acrosome integrity. Ejaculates contained 62 ± 14% morphologically normal spermatozoa, CASMA measured sperm head lengths at 5.5 ± 0.17μm and width 2.9 ± 0.19μm (total head area of 14.8 ± 1.43μm²) of which 36.3 ± 0.59% is covered by an acrosomal cap. Based on a Boolean argument and CASA data exploration it was possible to derive elephant and rhinoceros CASA cut-off criteria to sort between activated and hyperactivated motile spermatozoa. For the genomic component of this study, the CatSper1 (Loxodonta africana) gene was identified,sequenced and verified in a free-ranging (natural) African elephant population. Multivariate analysis(MVA) was applied to examine the associations between the semen and sperm parameters and the traits they accounted for in this study. Our understanding of wildlife reproductive sciences can substantially progress as the analytical techniques applied and the combination thereof is expanded. This investigation presents a new set of comprehensive semen and sperm threshold values for future investigations.
Borelli, João Eduardo. „Diagnóstico do estado de desgaste de ferramentas para o monitoramento de condições de usinagem de alto desempenho“. Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-14112017-104229/.
Der volle Inhalt der QuelleDuring machining process the temperature knowledge is one of the most important factors in tool analysis. It allows to control main factors that influence tool use, life time and wear. The temperature in the contact area between the work piece and the tool is resulting from the material remova! in cutting operation and it is too difficult to be obtained because the tool, or the work piece is in motion. One way to measure the temperature in this situation is detecting the infrared radiation. This work presents a new methodology for diagnosis and monitoring of machining processes with the use of infrared images. The infrared image provides a map in gray tones of the elements temperature in the process: tool, work piece and chips. Each gray tone corresponds to a certain temperature for each one of those materials and the relationship between the gray tones and the temperature is goven by previous infrared camera calibration. The system developed in this work uses an infrared camera, a frame grabber board and a software composed by three modules. The first module provides the image acquisition and processing. The second one does the image feature extraction and calculates the feature vector. Finally, the third module uses fuzzy logic to evaluate the feature vector and to supply the tool state diagnostic as output.
Elter, Matthias. „Computer-aided diagnosis of breast cancer“. Tönning Lübeck Marburg Der Andere-Verl, 2010. http://d-nb.info/1001110773/04.
Der volle Inhalt der QuelleNakamura, Yoshihiko, Takayuki Kitasaka, Kensaku Mori und Yasuhito Suenaga. „COMPUTER AIDED DIAGNOSIS FOR ABDOMINAL SURGICAL PLANNING“. INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10470.
Der volle Inhalt der QuelleMalone, John Philip. „Computer-aided diagnosis of diffuse lung disease“. Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440143.
Der volle Inhalt der QuelleTembey, Mugdha. „Computer-Aided Diagnosis for Mammographic Microcalcification Clusters“. [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000168.
Der volle Inhalt der QuellePUTZU, LORENZO. „Computer aided diagnosis algorithms for digital microscopy“. Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266877.
Der volle Inhalt der QuelleMori, Kensaku. „Advances in Computer Aided Diagnosis and Computer Assisted Surgery“. INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10452.
Der volle Inhalt der QuelleBücher zum Thema "Computer aided diagnosis tools"
Elseid, Arwa Ahmed Gasm, und Alnazier Osman Mohammed Hamza. Computer-Aided Glaucoma Diagnosis System. First edition. | Boca Raton, FL : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780367406288.
Der volle Inhalt der QuelleK, Law K., Hrsg. Computer-aided sculpture. Cambridge [England]: Cambridge University Press, 1989.
Den vollen Inhalt der Quelle findenDas, Rik, Sudarshan Nandy und Siddhartha Bhattacharyya. Disruptive Trends in Computer Aided Diagnosis. New York: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003045816.
Der volle Inhalt der QuelleSu, Ruidan, und Han Liu, Hrsg. Medical Imaging and Computer-Aided Diagnosis. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5199-4.
Der volle Inhalt der QuelleHastie, Trevor. Computer-aided diagnosis of mammographic masses. [Toronto]: University of Toronto, Dept. of Statistics, 1996.
Den vollen Inhalt der Quelle findenLung imaging and computer aided diagnosis. Boca Raton, FL: CRC Press, 2012.
Den vollen Inhalt der Quelle findenSu, Ruidan, Yudong Zhang, Han Liu und Alejandro F Frangi, Hrsg. Medical Imaging and Computer-Aided Diagnosis. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6.
Der volle Inhalt der QuelleKrishnamoorthy, C. S. Computer aided design: Software and analytical tools. New Delhi: Narosa Pub. House, 1991.
Den vollen Inhalt der Quelle findenKrishnamoorthy, C. S. Computer aided design: Software and analytical tools. Berlin: Springer-Verlag, 1992.
Den vollen Inhalt der Quelle findenComputer aided design: Software and analytical tools. 2. Aufl. Great Britain: Alpha Science Intl Ltd, 2005.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Computer aided diagnosis tools"
Katis, Andreas, Anastasia Mavridou, Dimitra Giannakopoulou, Thomas Pressburger und Johann Schumann. „Capture, Analyze, Diagnose: Realizability Checking Of Requirements in FRET“. In Computer Aided Verification, 490–504. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_24.
Der volle Inhalt der QuelleMori, Kazuo. „Case Example 6: In-process diagnosis of tool failures in milling“. In Computer-aided Maintenance, 356–78. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5305-2_17.
Der volle Inhalt der QuelleGernert, Regine, und Peter John. „Design of Competence Promoting Multi-Agent-Systems to Support the User in Fault Diagnosis of CNC-Machine Tools“. In Computer Aided Systems Theory - EUROCAST’99, 201–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720123_17.
Der volle Inhalt der QuelleKvak, Daniel, Eva Březinová, Marek Biroš und Robert Hrubý. „Synthetic Data as a Tool to Combat Racial Bias in Medical AI: Utilizing Generative Models for Optimizing Early Detection of Melanoma in Fitzpatrick Skin Types IV–VI“. In Medical Imaging and Computer-Aided Diagnosis, 317–30. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6_26.
Der volle Inhalt der QuelleSingh, Vedpal, Irraivan Elamvazuthi, Varun Jeoti, John George, Norashikin Yahya und Dileep Kumar. „Ultrasound Based Three Dimensional Computer Aided Diagnosis (CAD) Tool for the Diagnosis of Anterior Talofibular Ligament“. In Medical Imaging in Clinical Applications, 213–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33793-7_10.
Der volle Inhalt der QuelleHeinonen, T., T. Arola, A. Kalliokoski, P. Dastidar, M. Rossi, S. Soimakallio, J. Hyttinen und H. Eskola. „Computer Aided Diagnosis Tool for the Segmentation and Texture Analysis of Medical Images“. In IFMBE Proceedings, 274–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03879-2_77.
Der volle Inhalt der QuelleBanerjee, Neha, Rachana Sathish und Debdoot Sheet. „Deep Neural Architecture for Localization and Tracking of Surgical Tools in Cataract Surgery“. In Computer Aided Intervention and Diagnostics in Clinical and Medical Images, 31–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04061-1_4.
Der volle Inhalt der QuellePirovano, Antoine, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal und Isabelle Bloch. „Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations“. In Interpretable and Annotation-Efficient Learning for Medical Image Computing, 43–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61166-8_5.
Der volle Inhalt der QuellePancerz, Krzysztof, Olga Mich, Andrzej Burda und Jerzy Gomuła. „A Tool for Computer-Aided Diagnosis of Psychological Disorders Based on the MMPI Test: An Overview“. In Studies in Computational Intelligence, 201–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19147-8_12.
Der volle Inhalt der QuelleBricault, Ivan, Ron Kikinis, Eric van Sonnenberg, Kemal Tuncali und Stuart G. Silverman. „3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences“. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 1042–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30136-3_129.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Computer aided diagnosis tools"
Bento, Mariana P., Roberto M. Souza, Richard Frayne und Marina Salluzzi. „Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol“. In Computer-Aided Diagnosis, herausgegeben von Horst K. Hahn und Kensaku Mori. SPIE, 2019. http://dx.doi.org/10.1117/12.2512819.
Der volle Inhalt der QuelleGuan, Shuyue, Ravi K. Samala, Arian Arab und Weijie Chen. „MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors“. In Computer-Aided Diagnosis, herausgegeben von Khan M. Iftekharuddin und Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653650.
Der volle Inhalt der QuelleVandewiele, Stijn, Jonas De Vylder, Bart Diricx, Edward Sandra und Tom Kimpe. „Open-source tool for model performance analysis for subpopulations“. In Computer-Aided Diagnosis, herausgegeben von Khan M. Iftekharuddin und Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653453.
Der volle Inhalt der QuelleBurgon, Alexis, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Kenny Cha und Ravi K. Samala. „A tool for the assessment of AI generalizability via decision space composition“. In Computer-Aided Diagnosis, herausgegeben von Susan M. Astley und Weijie Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3008580.
Der volle Inhalt der QuelleJahani, Nariman, Eric Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos und Despina Kontos. „Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial“. In Computer-Aided Diagnosis, herausgegeben von Kensaku Mori und Nicholas Petrick. SPIE, 2018. http://dx.doi.org/10.1117/12.2293720.
Der volle Inhalt der QuelleGadermayr, Michael, Hubert Kogler, Andreas Uhl und Andreas Vecsei. „Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis“. In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367184.
Der volle Inhalt der QuelleLi, Lin, Qizhi Zhang, Yihua Ding, Huabei Jiang, Bruce T. Thiers und James Z. Wang. „A Computer-Aided Spectroscopic System for Early Diagnosis of Melanoma“. In 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2013. http://dx.doi.org/10.1109/ictai.2013.31.
Der volle Inhalt der QuelleGorriz, J. M., J. Ramirez, A. Lassl, D. Salas-Gonzalez, E. W. Lang, C. G. Puntonet, I. Alvarez, M. Lopez und M. Gomez-Rio. „Automatic computer aided diagnosis tool using component-based SVM“. In 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774255.
Der volle Inhalt der QuelleWang, Lulu, Ahmed Al-Jumaily und Andrew Kilding. „Computer-Aided Diagnostic Tool for Lung Diseases“. In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50550.
Der volle Inhalt der QuelleZhao, Zheen, David K. Wallace, Sharon F. Freedman und Stephen R. Aylward. „A tool for computer-aided diagnosis of retinopathy of prematurity“. In Medical Imaging, herausgegeben von Maryellen L. Giger und Nico Karssemeijer. SPIE, 2008. http://dx.doi.org/10.1117/12.769030.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Computer aided diagnosis tools"
Floyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1996. http://dx.doi.org/10.21236/ada325798.
Der volle Inhalt der QuelleFloyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, Oktober 2000. http://dx.doi.org/10.21236/ada392958.
Der volle Inhalt der QuelleFloyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1999. http://dx.doi.org/10.21236/ada383108.
Der volle Inhalt der QuelleJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA: Defense Technical Information Center, Juni 2001. http://dx.doi.org/10.21236/ada396524.
Der volle Inhalt der QuelleJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA: Defense Technical Information Center, Juni 2004. http://dx.doi.org/10.21236/ada431258.
Der volle Inhalt der QuelleJiang, Yulei. Computer-Aided Diagnosis of Breast Lesions. Fort Belvoir, VA: Defense Technical Information Center, Juni 2002. http://dx.doi.org/10.21236/ada410986.
Der volle Inhalt der QuelleJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA: Defense Technical Information Center, Juni 2003. http://dx.doi.org/10.21236/ada421590.
Der volle Inhalt der QuelleKupinski, Matthew A. Investigation of Genetic Algorithms for Computer-Aided Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, Oktober 2000. http://dx.doi.org/10.21236/ada393995.
Der volle Inhalt der QuelleChan, Heang P. Digital Mammography: Advanced Computer-Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, Mai 2003. http://dx.doi.org/10.21236/ada420159.
Der volle Inhalt der QuelleKupinski, Matthew A. Investigation of Genetic Algorithms for Computer-Aided Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1999. http://dx.doi.org/10.21236/ada391457.
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