Literatura científica selecionada sobre o tema "Computer aided diagnosis tools"
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Artigos de revistas sobre o assunto "Computer aided diagnosis tools"
Mun, Seong K., e Dow-Mu Koh. "Special Issue: “Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging”". Diagnostics 12, n.º 6 (27 de maio de 2022): 1331. http://dx.doi.org/10.3390/diagnostics12061331.
Texto completo da fonteIoanovici, Andrei-Constantin, Andrei-Marian Feier, Ioan Țilea e Daniela Dobru. "Computer-Aided Diagnosis in Colorectal Cancer: Current Concepts and Future Prospects". Journal of Interdisciplinary Medicine 2, n.º 3 (1 de setembro de 2017): 245–49. http://dx.doi.org/10.1515/jim-2017-0057.
Texto completo da fonteMolino, F., D. Furia, F. Bar, S. Battista, N. Cappello e G. Molino. "Computer-Aided Diagnosis in Jaundice: Comparison of Knowledge-based and Probabilistic Approaches". Methods of Information in Medicine 35, n.º 01 (janeiro de 1996): 41–51. http://dx.doi.org/10.1055/s-0038-1634634.
Texto completo da fonteBartolini, Ilaria, e Andrea Di Luzio. "CAT-CAD: A Computer-Aided Diagnosis Tool for Cataplexy". Computers 10, n.º 4 (13 de abril de 2021): 51. http://dx.doi.org/10.3390/computers10040051.
Texto completo da fonteJiménez-Gaona, Yuliana, María José Rodríguez-Álvarez e Vasudevan Lakshminarayanan. "Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review". Applied Sciences 10, n.º 22 (23 de novembro de 2020): 8298. http://dx.doi.org/10.3390/app10228298.
Texto completo da fonteLee, Juhun, Robert M. Nishikawa, Ingrid Reiser e John M. Boone. "Optimal reconstruction and quantitative image features for computer-aided diagnosis tools for breast CT". Medical Physics 44, n.º 5 (13 de abril de 2017): 1846–56. http://dx.doi.org/10.1002/mp.12214.
Texto completo da fonteRibeiro, Ricardo T., Rui Tato Marinho e J. Miguel Sanches. "An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection". IEEE Journal of Biomedical and Health Informatics 18, n.º 4 (julho de 2014): 1397–403. http://dx.doi.org/10.1109/jbhi.2013.2284785.
Texto completo da fonteG. P, Vishnu Prasad, Kurapati Vishnu Sai Reddy, A. M. Kiruthik e Dr J. Arun Nehru. "Prediction of Kidney Stones Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 5 (31 de maio de 2022): 1037–44. http://dx.doi.org/10.22214/ijraset.2022.42416.
Texto completo da fonteSantos, Marcel Koenigkam, José Raniery Ferreira Júnior, Danilo Tadao Wada, Ariane Priscilla Magalhães Tenório, Marcello Henrique Nogueira Barbosa e Paulo Mazzoncini de Azevedo Marques. "Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine". Radiologia Brasileira 52, n.º 6 (dezembro de 2019): 387–96. http://dx.doi.org/10.1590/0100-3984.2019.0049.
Texto completo da fonteOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang e 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, n.º 11 (26 de novembro de 2020): e18563. http://dx.doi.org/10.2196/18563.
Texto completo da fonteTeses / dissertações sobre o assunto "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.
Texto completo da fonteCoxon, Andrew. "Computer aided analysis of paraspinal electromyography". Thesis, Teesside University, 2013. http://hdl.handle.net/10149/301616.
Texto completo da fonteLuther, 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.
Texto completo da fonteThe 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/.
Texto completo da fonteDuring 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.
Texto completo da fonteNakamura, Yoshihiko, Takayuki Kitasaka, Kensaku Mori e Yasuhito Suenaga. "COMPUTER AIDED DIAGNOSIS FOR ABDOMINAL SURGICAL PLANNING". INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10470.
Texto completo da fonteMalone, 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.
Texto completo da fonteTembey, Mugdha. "Computer-Aided Diagnosis for Mammographic Microcalcification Clusters". [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000168.
Texto completo da fontePUTZU, LORENZO. "Computer aided diagnosis algorithms for digital microscopy". Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266877.
Texto completo da fonteMori, Kensaku. "Advances in Computer Aided Diagnosis and Computer Assisted Surgery". INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10452.
Texto completo da fonteLivros sobre o assunto "Computer aided diagnosis tools"
Elseid, Arwa Ahmed Gasm, e 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.
Texto completo da fonteK, Law K., ed. Computer-aided sculpture. Cambridge [England]: Cambridge University Press, 1989.
Encontre o texto completo da fonteDas, Rik, Sudarshan Nandy e Siddhartha Bhattacharyya. Disruptive Trends in Computer Aided Diagnosis. New York: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003045816.
Texto completo da fonteSu, Ruidan, e Han Liu, eds. Medical Imaging and Computer-Aided Diagnosis. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5199-4.
Texto completo da fonteHastie, Trevor. Computer-aided diagnosis of mammographic masses. [Toronto]: University of Toronto, Dept. of Statistics, 1996.
Encontre o texto completo da fonteLung imaging and computer aided diagnosis. Boca Raton, FL: CRC Press, 2012.
Encontre o texto completo da fonteSu, Ruidan, Yudong Zhang, Han Liu e Alejandro F Frangi, eds. Medical Imaging and Computer-Aided Diagnosis. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6.
Texto completo da fonteKrishnamoorthy, C. S. Computer aided design: Software and analytical tools. New Delhi: Narosa Pub. House, 1991.
Encontre o texto completo da fonteKrishnamoorthy, C. S. Computer aided design: Software and analytical tools. Berlin: Springer-Verlag, 1992.
Encontre o texto completo da fonteComputer aided design: Software and analytical tools. 2a ed. Great Britain: Alpha Science Intl Ltd, 2005.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Computer aided diagnosis tools"
Katis, Andreas, Anastasia Mavridou, Dimitra Giannakopoulou, Thomas Pressburger e 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.
Texto completo da fonteMori, 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.
Texto completo da fonteGernert, Regine, e 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.
Texto completo da fonteKvak, Daniel, Eva Březinová, Marek Biroš e 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.
Texto completo da fonteSingh, Vedpal, Irraivan Elamvazuthi, Varun Jeoti, John George, Norashikin Yahya e 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.
Texto completo da fonteHeinonen, T., T. Arola, A. Kalliokoski, P. Dastidar, M. Rossi, S. Soimakallio, J. Hyttinen e 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.
Texto completo da fonteBanerjee, Neha, Rachana Sathish e 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.
Texto completo da fontePirovano, Antoine, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal e 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.
Texto completo da fontePancerz, Krzysztof, Olga Mich, Andrzej Burda e 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.
Texto completo da fonteBricault, Ivan, Ron Kikinis, Eric van Sonnenberg, Kemal Tuncali e 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Computer aided diagnosis tools"
Bento, Mariana P., Roberto M. Souza, Richard Frayne e Marina Salluzzi. "Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol". In Computer-Aided Diagnosis, editado por Horst K. Hahn e Kensaku Mori. SPIE, 2019. http://dx.doi.org/10.1117/12.2512819.
Texto completo da fonteGuan, Shuyue, Ravi K. Samala, Arian Arab e Weijie Chen. "MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors". In Computer-Aided Diagnosis, editado por Khan M. Iftekharuddin e Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653650.
Texto completo da fonteVandewiele, Stijn, Jonas De Vylder, Bart Diricx, Edward Sandra e Tom Kimpe. "Open-source tool for model performance analysis for subpopulations". In Computer-Aided Diagnosis, editado por Khan M. Iftekharuddin e Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653453.
Texto completo da fonteBurgon, Alexis, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Kenny Cha e Ravi K. Samala. "A tool for the assessment of AI generalizability via decision space composition". In Computer-Aided Diagnosis, editado por Susan M. Astley e Weijie Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3008580.
Texto completo da fonteJahani, Nariman, Eric Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos e 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, editado por Kensaku Mori e Nicholas Petrick. SPIE, 2018. http://dx.doi.org/10.1117/12.2293720.
Texto completo da fonteGadermayr, Michael, Hubert Kogler, Andreas Uhl e 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.
Texto completo da fonteLi, Lin, Qizhi Zhang, Yihua Ding, Huabei Jiang, Bruce T. Thiers e 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.
Texto completo da fonteGorriz, J. M., J. Ramirez, A. Lassl, D. Salas-Gonzalez, E. W. Lang, C. G. Puntonet, I. Alvarez, M. Lopez e 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.
Texto completo da fonteWang, Lulu, Ahmed Al-Jumaily e 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.
Texto completo da fonteZhao, Zheen, David K. Wallace, Sharon F. Freedman e Stephen R. Aylward. "A tool for computer-aided diagnosis of retinopathy of prematurity". In Medical Imaging, editado por Maryellen L. Giger e Nico Karssemeijer. SPIE, 2008. http://dx.doi.org/10.1117/12.769030.
Texto completo da fonteRelatórios de organizações sobre o assunto "Computer aided diagnosis tools"
Floyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, outubro de 1996. http://dx.doi.org/10.21236/ada325798.
Texto completo da fonteFloyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, outubro de 2000. http://dx.doi.org/10.21236/ada392958.
Texto completo da fonteFloyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, outubro de 1999. http://dx.doi.org/10.21236/ada383108.
Texto completo da fonteJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA: Defense Technical Information Center, junho de 2001. http://dx.doi.org/10.21236/ada396524.
Texto completo da fonteJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA: Defense Technical Information Center, junho de 2004. http://dx.doi.org/10.21236/ada431258.
Texto completo da fonteJiang, Yulei. Computer-Aided Diagnosis of Breast Lesions. Fort Belvoir, VA: Defense Technical Information Center, junho de 2002. http://dx.doi.org/10.21236/ada410986.
Texto completo da fonteJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA: Defense Technical Information Center, junho de 2003. http://dx.doi.org/10.21236/ada421590.
Texto completo da fonteKupinski, Matthew A. Investigation of Genetic Algorithms for Computer-Aided Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, outubro de 2000. http://dx.doi.org/10.21236/ada393995.
Texto completo da fonteChan, Heang P. Digital Mammography: Advanced Computer-Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, maio de 2003. http://dx.doi.org/10.21236/ada420159.
Texto completo da fonteKupinski, Matthew A. Investigation of Genetic Algorithms for Computer-Aided Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, outubro de 1999. http://dx.doi.org/10.21236/ada391457.
Texto completo da fonte