Literatura académica sobre el tema "Prediction Of Malignant"
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Artículos de revistas sobre el tema "Prediction Of Malignant"
Sukanya L. "Risk of malignancy index (RMI) for prediction of malignancy in women with adnexal masses". International Journal of Research in Pharmaceutical Sciences 13, n.º 3 (26 de septiembre de 2022): 339–42. http://dx.doi.org/10.26452/ijrps.v13i3.2733.
Texto completoWang, Xiuchao, Junjin Wang, Xi Wei, Lihui Zhao, Bo Ni, Zekun Li, Chuntao Gao et al. "Preoperative ultrasound combined with routine blood tests in predicting the malignant risk of pancreatic cystic neoplasms". Cancer Biology & Medicine 19, n.º 10 (1 de noviembre de 2022): 1503–16. http://dx.doi.org/10.20892/j.issn.2095-3941.2022.0258.
Texto completoLi, Tingting, Yanjie Li, Yingqi Yang, Juan Li, ZiYue Hu, Lu Wang, Wei Pu, Ting Wei y Man Lu. "Logistic regression analysis of ultrasound findings in predicting the malignant and benign phyllodes tumor of breast". PLOS ONE 17, n.º 3 (24 de marzo de 2022): e0265952. http://dx.doi.org/10.1371/journal.pone.0265952.
Texto completoSwan, Kristine Zøylner, Steen Joop Bonnema, Marie Louise Jespersen y Viveque Egsgaard Nielsen. "Reappraisal of shear wave elastography as a diagnostic tool for identifying thyroid carcinoma". Endocrine Connections 8, n.º 8 (agosto de 2019): 1195–205. http://dx.doi.org/10.1530/ec-19-0324.
Texto completoCarlsson, Leo S., Mikael Vejdemo-Johansson, Gunnar Carlsson y Pär G. Jönsson. "Fibers of Failure: Classifying Errors in Predictive Processes". Algorithms 13, n.º 6 (23 de junio de 2020): 150. http://dx.doi.org/10.3390/a13060150.
Texto completoKaseb, Hatem, Ahmad Charifa, Rita Abi-Raad, Guoping Cai, Lynwood Hammers, Manju Prasad y Adebowale Adeniran. "Concordance Between the TIRADS Ultrasound Scoring Criteria, Fine-Needle Aspiration Cytology, and Thyroid Final Resection Diagnosis". American Journal of Clinical Pathology 152, Supplement_1 (11 de septiembre de 2019): S92. http://dx.doi.org/10.1093/ajcp/aqz118.001.
Texto completoCarter, J. R., J. M. Fowler, J. W. Carlson, L. F. Carson, L. L. Adcock y L. B. Twiggs. "Prediction of malignancy using transvaginal color flow Doppler in patients with gynecologic tumors". International Journal of Gynecologic Cancer 3, n.º 5 (1993): 279–84. http://dx.doi.org/10.1046/j.1525-1438.1993.03050279.x.
Texto completoOhno, Riki, Ryuichi Kawamoto, Mami Kanamoto, Jota Watanabe, Masahiko Fujii, Hiromi Ohtani, Masamitsu Harada, Teru Kumagi y Hideki Kawasaki. "Neutrophil to Lymphocyte Ratio is a Predictive Factor of Malignant Potential for Intraductal Papillary Mucinous Neoplasms of the pancreas". Biomarker Insights 14 (enero de 2019): 117727191985150. http://dx.doi.org/10.1177/1177271919851505.
Texto completoYamanaka, Shoichiro, Naoki Kawahara, Ryuji Kawaguchi, Keita Waki, Tomoka Maehana, Yosuke Fukui, Ryuta Miyake, Yuki Yamada, Hiroshi Kobayashi y Fuminori Kimura. "The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy". Diagnostics 12, n.º 5 (12 de mayo de 2022): 1212. http://dx.doi.org/10.3390/diagnostics12051212.
Texto completoAssegie, Tsehay Admassu, R. Lakshmi Tulasi y N. Komal Kumar. "Breast cancer prediction model with decision tree and adaptive boosting". IAES International Journal of Artificial Intelligence (IJ-AI) 10, n.º 1 (1 de marzo de 2021): 184. http://dx.doi.org/10.11591/ijai.v10.i1.pp184-190.
Texto completoTesis sobre el tema "Prediction Of Malignant"
Moitra, Dipanjan. "Deep learning model for prediction of malignant tumors in human body with special reference to multimodel imaging techniques". Thesis, University of North Bengal, 2020. http://ir.nbu.ac.in/handle/123456789/4347.
Texto completoDiajil, Ameena Ryhan. "An investigation into the diagnosis, prediction and management of oral potentially malignant disorders". Thesis, University of Newcastle upon Tyne, 2012. http://hdl.handle.net/10443/1601.
Texto completoSchiza, Aglaia. "Experimental treatment of patients with disseminated malignant melanoma". Doctoral thesis, Uppsala universitet, Experimentell och klinisk onkologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-330710.
Texto completoMoitra, Dipanjan. "Deep learning model for prediction of malignant tumors in human body with special reference to multimodel imaging techniques". Thesis, University of North Bengal, 2020. http://ir.nbu.ac.in/handle/123456789/4375.
Texto completoGhosh, Michael [Verfasser]. "Advancing immunopeptidomics : validation of the method, improved epitope prediction, peptide-based HLA typing and discrimination of healthy and malignant tissue / Michael Ghosh". Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1218073012/34.
Texto completoKüffer, Stefan Thomas [Verfasser] y Alexander [Akademischer Betreuer] Marx. "IGF1R and TYRO3 as potential biomarkers for response prediction in malignant thymomas and thymic carcinomas treated with sunitinib / Stefan Thomas Küffer ; Betreuer: Alexander Marx". Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/120260806X/34.
Texto completoKüffer, Stefan [Verfasser] y Alexander [Akademischer Betreuer] Marx. "IGF1R and TYRO3 as potential biomarkers for response prediction in malignant thymomas and thymic carcinomas treated with sunitinib / Stefan Thomas Küffer ; Betreuer: Alexander Marx". Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/120260806X/34.
Texto completoVetma, Vesna [Verfasser] y Markus [Akademischer Betreuer] Morrison. "Assessment of TRAIL sensitisation by IAP antagonist TL32711 in malignant melanoma and development of a framework for response prediction / Vesna Vetma ; Betreuer: Markus Morrison". Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2020. http://d-nb.info/1212034449/34.
Texto completoHagen, Jeffrey M. "CD31: Invasive Predictive Biomarker for Malignant Transformation of Oral Epithelial Dysplasia". The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376839992.
Texto completoHill, Alexandra. "Digital image analysis: Predictive biomarkers for chemoimmunotherapy in malignant pleural mesothelioma". Thesis, Hill, Alexandra (2019) Digital image analysis: Predictive biomarkers for chemoimmunotherapy in malignant pleural mesothelioma. Honours thesis, Murdoch University, 2019. https://researchrepository.murdoch.edu.au/id/eprint/54434/.
Texto completoLibros sobre el tema "Prediction Of Malignant"
Cherdanceva, Tat'yana, Vladimir Klimechev y Igor' Bobrov. Pathological and molecular biological analysis of renal cell carcinoma. Diagnosis and prognosis. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1020785.
Texto completoMcElhinney, Veronica. A study to assess the possibility of a predictive prodrome for the development of neuroleptic malignant syndrome. [S.l: The Author], 1993.
Buscar texto completoDurand, Melissa A. Architectural Distortion (Cancer). Editado por Christoph I. Lee, Constance D. Lehman y Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0029.
Texto completoTownsend, William M. y Emma C. Morris. ICU selection and outcome of patients with haematological malignancy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0374.
Texto completoKwon, Rachel J. Size as a Predictor of Malignancy of Adrenal Cortical Carcinoma. Editado por Randall Owen. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199384075.003.0042.
Texto completoDoepke, Laura. Fine, Linear/Branching Calcifications. Editado por Christoph I. Lee, Constance D. Lehman y Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0041.
Texto completoProut, Jeremy, Tanya Jones y Daniel Martin. Thoracic anaesthesia. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609956.003.0015.
Texto completoSherman, Mark E., Melissa A. Troester, Katherine A. Hoadley y William F. Anderson. Morphological and Molecular Classification of Human Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0003.
Texto completoAndrzej, Wojcik y Colin J. Martin. Biological effects of ionizing radiation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0003.
Texto completoHarper, Lorraine y David Jayne. The patient with vasculitis. Editado por Giuseppe Remuzzi. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0160.
Texto completoCapítulos de libros sobre el tema "Prediction Of Malignant"
Toyota, S., Rudolf Graf, M. Valentino, T. Yoshimine y W. D. Heiss. "Prediction of malignant infarction: perifocal neurochemical monitoring following prolonged MCA occlusion in cats". En Brain Edema XII, 153–57. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0651-8_32.
Texto completoMadasamy, Kaliappan, Vimal Shanmuganathan, Nithish, Vishakan, Vijayabhaskar, Muthukumar, Balamurali Ramakrishnan y M. Ramnath. "Benign and Malignant Cancer Prediction Using Deep Learning and Generating Pathologist Diagnostic Report". En Engineering Cyber-Physical Systems and Critical Infrastructures, 73–87. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52787-6_7.
Texto completoKumar, Vivek, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh y Abhishek Verma. "Prediction of Malignant and Benign Breast Cancer: A Data Mining Approach in Healthcare Applications". En Advances in Data Science and Management, 435–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0978-0_43.
Texto completoAnderson, Owen, Andrew C. Kidd, Keith A. Goatman, Alexander J. Weir, Jeremy P. Voisey, Vismantas Dilys, Jan P. Siebert y Kevin G. Blyth. "Estimating the False Positive Prediction Rate in Automated Volumetric Measurements of Malignant Pleural Mesothelioma". En Biomedical Engineering Systems and Technologies, 116–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72379-8_7.
Texto completoAggarwal, Ritu. "An Intelligent System for Diagnosis and Prediction of Breast Cancer Malignant Features using Machine Learning Algorithms". En Machine Learning and Deep Learning Techniques for Medical Science, 143–51. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003217497-8.
Texto completoSloan, Philip. "The Bi-Directional Communication Between Tumour Cells and Other Components of the Tumour Microenvironment". En Critical Issues in Head and Neck Oncology, 1–9. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23175-9_1.
Texto completoLarrañaga, Pedro, Basilio Sierra, Miren J. Gallego, Maria J. Michelena y Juan M. Picaza. "Learning Bayesian Networks by Genetic Algorithms: A case study in the prediction of survival in malignant skin melanoma". En Artificial Intelligence in Medicine, 261–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0029459.
Texto completoSchölmerich, Jürgen, Eckart Köttgen, Brigitte A. Volk y Wolfgang Gerok. "Proteases and Antiproteases in Ascites — Differentiation of Malignant and Nonmalignant Ascites and Prediction of Coagulopathy in Ascites Retransfusion". En Advances in Experimental Medicine and Biology, 555–60. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1057-0_71.
Texto completoYhap, Margaret, Allen F. Pyesmany, Lynne M. Ball, D. Christie Riddle, Jiang Mu y Dick van Velzen. "Microsatellite Instability Assessment in Prediction of Drug Resistance in Childhood Burkitt’s and Large Cell Diffuse Malignant Non-Hodgkin Lymphoma (MNHL)". En Drug Resistance in Leukemia and Lymphoma III, 517–25. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4811-9_56.
Texto completoMorimoto, Yasuo, Chinatsu Nishida, Taisuke Tomonaga y Hiroto Izumi. "Pleural Plaques as a Predictive Imaging Marker for Cancer Screening in Asbestos-Exposed Subjects: Can Pleural Plaques Be a Tool beyond Estimating Past Asbestos Inhalation?" En Malignant Pleural Mesothelioma, 65–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9158-7_6.
Texto completoActas de conferencias sobre el tema "Prediction Of Malignant"
Sharma, Kriti, Brahmini Muktha, Apoorva Rani y Chandrasegar Thirumalai. "Prediction of benign and malignant tumor". En 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300871.
Texto completoMittal, Veena, Chandra Kant, Kartikey Pandey y Dinesh Pratap Singh. "Prediction of Benign or Malignant Human Cells using Artificial Intelligence". En 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2021. http://dx.doi.org/10.1109/icac3n53548.2021.9725525.
Texto completoGao, Zixiong, Yufan Chen, Wuping Mai, Yao Lu, Shuyu Wu y Hongmei Liu. "Multi-task learning of perceptive feature for thyroid malignant probability prediction". En Computer-Aided Diagnosis, editado por Karen Drukker y Maciej A. Mazurowski. SPIE, 2021. http://dx.doi.org/10.1117/12.2580697.
Texto completoMa, Yue, Lin Liu, Jiayan Liu, Kaiming Xue, Zhe Zhou y Mengchao Zhang. "Prediction of Benign and Malignant Thymic Tumors based on Radiomics Features". En 2019 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2019. http://dx.doi.org/10.1109/icma.2019.8816280.
Texto completoKamarudin, Saddam, Ishkrizat Taib, Maliki Adnan, Fitriah Nasir, Ahmad Mubarak Tajul Ariffin, Nor Adrian Nor Salim, Nofrizal Idris Darlis, Mohd Noor Abdullah y Ali Kamil. "Prediction of heat distribution on brain malignant tumor using hyperthermia therapy". En 12th INTERNATIONAL CONFERENCE ON MECHANICAL AND MANUFACTURING ENGINEERING 2022 (ICME’22). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0183646.
Texto completoPromtan, Santad, Phungern Khongthong y Chidchanok Choksuchat. "Breast Cancer Prediction of Benign and Malignant Tumors by Classification Algorithms". En 2023 4th International Conference on Big Data Analytics and Practices (IBDAP). IEEE, 2023. http://dx.doi.org/10.1109/ibdap58581.2023.10271967.
Texto completoGoh, Jasmine, Sanjay de Mel, Anand D. Jeyasekharan y Edward K. H. Chow. "Abstract PO-51: Drug combination analytics platform for accurate prediction of treatment response in refractory and relapsed lymphomas". En Abstracts: AACR Virtual Meeting: Advances in Malignant Lymphoma; August 17-19, 2020. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/2643-3249.lymphoma20-po-51.
Texto completoWei Heng, Wei, Eileen Su Lee Ming, Ahmad Nizar Jamaluddin, Fauzan Khairi Che Harun, Nurul Ashikin Abdul-Kadir y Che Fai Yeong. "Prediction Algorithm of Malignant Ventricular Arrhythmia Validated across Multiple Online Public Databases". En 2019 Computing in Cardiology Conference. Computing in Cardiology, 2019. http://dx.doi.org/10.22489/cinc.2019.295.
Texto completoLeng, William Mok Wen, Wei Wei Heng y Nurul Ashikin Abdul-Kadir. "Earlier Prediction Algorithm of Malignant Ventricular Arrhythmia on Heterogenous Databases: A Review". En 2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2022. http://dx.doi.org/10.1109/icicyta57421.2022.10037936.
Texto completoWang, Jun, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang y Jie Tian. "Prediction of malignant and benign of lung tumor using a quantitative radiomic method". En 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7590938.
Texto completoInformes sobre el tema "Prediction Of Malignant"
Huang, Wei, Dahong Yang, Danyang Fan, Chao Hou y Wanqian Liu. Prognostic value of net water uptake in acute ischemic stroke: a protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, diciembre de 2021. http://dx.doi.org/10.37766/inplasy2021.12.0077.
Texto completoGareau, Paul y Brian K. Rutt. Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, julio de 2000. http://dx.doi.org/10.21236/ada390993.
Texto completoLochab, Dr Prachi, Dr Lata Rajoria, Dr Sunita Hemani y Dr Akanksha Akanksha. EVALUATION OF IOTA SIMPLE ULTRASOUND RULES AND HISTOPATHOLOGY TO DISTINGUISH BETWEEN BENIGN AND MALIGNANT OVARIAN TUMORS : A DESCRIPTIVE STUDY. World Wide Journals, febrero de 2023. http://dx.doi.org/10.36106/ijar/5405931.
Texto completoLi, Yu, Yi-Biing Shi y Chun-Feng Hu. PET/CT based model for predicting malignancy in pulmonary nodules: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, octubre de 2023. http://dx.doi.org/10.37766/inplasy2023.10.0042.
Texto completoBai, Tian, Li-Juan Wen y Na Zhang. Predictive model for the probability of malignancy in solitary pulmonary nodules: A meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, octubre de 2021. http://dx.doi.org/10.37766/inplasy2021.10.0006.
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