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Artykuły w czasopismach na temat "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, nr 3 (26.09.2022): 339–42. http://dx.doi.org/10.26452/ijrps.v13i3.2733.
Pełny tekst źródłaWang, Xiuchao, Junjin Wang, Xi Wei, Lihui Zhao, Bo Ni, Zekun Li, Chuntao Gao i in. "Preoperative ultrasound combined with routine blood tests in predicting the malignant risk of pancreatic cystic neoplasms". Cancer Biology & Medicine 19, nr 10 (1.11.2022): 1503–16. http://dx.doi.org/10.20892/j.issn.2095-3941.2022.0258.
Pełny tekst źródłaLi, Tingting, Yanjie Li, Yingqi Yang, Juan Li, ZiYue Hu, Lu Wang, Wei Pu, Ting Wei i Man Lu. "Logistic regression analysis of ultrasound findings in predicting the malignant and benign phyllodes tumor of breast". PLOS ONE 17, nr 3 (24.03.2022): e0265952. http://dx.doi.org/10.1371/journal.pone.0265952.
Pełny tekst źródłaSwan, Kristine Zøylner, Steen Joop Bonnema, Marie Louise Jespersen i Viveque Egsgaard Nielsen. "Reappraisal of shear wave elastography as a diagnostic tool for identifying thyroid carcinoma". Endocrine Connections 8, nr 8 (sierpień 2019): 1195–205. http://dx.doi.org/10.1530/ec-19-0324.
Pełny tekst źródłaCarlsson, Leo S., Mikael Vejdemo-Johansson, Gunnar Carlsson i Pär G. Jönsson. "Fibers of Failure: Classifying Errors in Predictive Processes". Algorithms 13, nr 6 (23.06.2020): 150. http://dx.doi.org/10.3390/a13060150.
Pełny tekst źródłaKaseb, Hatem, Ahmad Charifa, Rita Abi-Raad, Guoping Cai, Lynwood Hammers, Manju Prasad i 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 (11.09.2019): S92. http://dx.doi.org/10.1093/ajcp/aqz118.001.
Pełny tekst źródłaCarter, J. R., J. M. Fowler, J. W. Carlson, L. F. Carson, L. L. Adcock i L. B. Twiggs. "Prediction of malignancy using transvaginal color flow Doppler in patients with gynecologic tumors". International Journal of Gynecologic Cancer 3, nr 5 (1993): 279–84. http://dx.doi.org/10.1046/j.1525-1438.1993.03050279.x.
Pełny tekst źródłaOhno, Riki, Ryuichi Kawamoto, Mami Kanamoto, Jota Watanabe, Masahiko Fujii, Hiromi Ohtani, Masamitsu Harada, Teru Kumagi i Hideki Kawasaki. "Neutrophil to Lymphocyte Ratio is a Predictive Factor of Malignant Potential for Intraductal Papillary Mucinous Neoplasms of the pancreas". Biomarker Insights 14 (styczeń 2019): 117727191985150. http://dx.doi.org/10.1177/1177271919851505.
Pełny tekst źródłaYamanaka, Shoichiro, Naoki Kawahara, Ryuji Kawaguchi, Keita Waki, Tomoka Maehana, Yosuke Fukui, Ryuta Miyake, Yuki Yamada, Hiroshi Kobayashi i Fuminori Kimura. "The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy". Diagnostics 12, nr 5 (12.05.2022): 1212. http://dx.doi.org/10.3390/diagnostics12051212.
Pełny tekst źródłaAssegie, Tsehay Admassu, R. Lakshmi Tulasi i N. Komal Kumar. "Breast cancer prediction model with decision tree and adaptive boosting". IAES International Journal of Artificial Intelligence (IJ-AI) 10, nr 1 (1.03.2021): 184. http://dx.doi.org/10.11591/ijai.v10.i1.pp184-190.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaDiajil, 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.
Pełny tekst źródłaSchiza, 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.
Pełny tekst źródłaMoitra, 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.
Pełny tekst źródłaGhosh, 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.
Pełny tekst źródłaKüffer, Stefan Thomas [Verfasser], i 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.
Pełny tekst źródłaKüffer, Stefan [Verfasser], i 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.
Pełny tekst źródłaVetma, Vesna [Verfasser], i 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.
Pełny tekst źródłaHagen, 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.
Pełny tekst źródłaHill, 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/.
Pełny tekst źródłaKsiążki na temat "Prediction Of Malignant"
Cherdanceva, Tat'yana, Vladimir Klimechev i 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.
Pełny tekst źródłaMcElhinney, Veronica. A study to assess the possibility of a predictive prodrome for the development of neuroleptic malignant syndrome. [S.l: The Author], 1993.
Znajdź pełny tekst źródłaDurand, Melissa A. Architectural Distortion (Cancer). Redaktorzy Christoph I. Lee, Constance D. Lehman i Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0029.
Pełny tekst źródłaTownsend, William M., i 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.
Pełny tekst źródłaKwon, Rachel J. Size as a Predictor of Malignancy of Adrenal Cortical Carcinoma. Redaktor Randall Owen. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199384075.003.0042.
Pełny tekst źródłaDoepke, Laura. Fine, Linear/Branching Calcifications. Redaktorzy Christoph I. Lee, Constance D. Lehman i Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0041.
Pełny tekst źródłaProut, Jeremy, Tanya Jones i Daniel Martin. Thoracic anaesthesia. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609956.003.0015.
Pełny tekst źródłaSherman, Mark E., Melissa A. Troester, Katherine A. Hoadley i William F. Anderson. Morphological and Molecular Classification of Human Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0003.
Pełny tekst źródłaAndrzej, Wojcik, i Colin J. Martin. Biological effects of ionizing radiation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0003.
Pełny tekst źródłaHarper, Lorraine, i David Jayne. The patient with vasculitis. Redaktor Giuseppe Remuzzi. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0160.
Pełny tekst źródłaCzęści książek na temat "Prediction Of Malignant"
Toyota, S., Rudolf Graf, M. Valentino, T. Yoshimine i W. D. Heiss. "Prediction of malignant infarction: perifocal neurochemical monitoring following prolonged MCA occlusion in cats". W Brain Edema XII, 153–57. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0651-8_32.
Pełny tekst źródłaMadasamy, Kaliappan, Vimal Shanmuganathan, Nithish, Vishakan, Vijayabhaskar, Muthukumar, Balamurali Ramakrishnan i M. Ramnath. "Benign and Malignant Cancer Prediction Using Deep Learning and Generating Pathologist Diagnostic Report". W 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.
Pełny tekst źródłaKumar, Vivek, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh i Abhishek Verma. "Prediction of Malignant and Benign Breast Cancer: A Data Mining Approach in Healthcare Applications". W Advances in Data Science and Management, 435–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0978-0_43.
Pełny tekst źródłaAnderson, Owen, Andrew C. Kidd, Keith A. Goatman, Alexander J. Weir, Jeremy P. Voisey, Vismantas Dilys, Jan P. Siebert i Kevin G. Blyth. "Estimating the False Positive Prediction Rate in Automated Volumetric Measurements of Malignant Pleural Mesothelioma". W Biomedical Engineering Systems and Technologies, 116–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72379-8_7.
Pełny tekst źródłaAggarwal, Ritu. "An Intelligent System for Diagnosis and Prediction of Breast Cancer Malignant Features using Machine Learning Algorithms". W Machine Learning and Deep Learning Techniques for Medical Science, 143–51. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003217497-8.
Pełny tekst źródłaSloan, Philip. "The Bi-Directional Communication Between Tumour Cells and Other Components of the Tumour Microenvironment". W 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.
Pełny tekst źródłaLarrañaga, Pedro, Basilio Sierra, Miren J. Gallego, Maria J. Michelena i Juan M. Picaza. "Learning Bayesian Networks by Genetic Algorithms: A case study in the prediction of survival in malignant skin melanoma". W Artificial Intelligence in Medicine, 261–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0029459.
Pełny tekst źródłaSchölmerich, Jürgen, Eckart Köttgen, Brigitte A. Volk i Wolfgang Gerok. "Proteases and Antiproteases in Ascites — Differentiation of Malignant and Nonmalignant Ascites and Prediction of Coagulopathy in Ascites Retransfusion". W 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.
Pełny tekst źródłaYhap, Margaret, Allen F. Pyesmany, Lynne M. Ball, D. Christie Riddle, Jiang Mu i Dick van Velzen. "Microsatellite Instability Assessment in Prediction of Drug Resistance in Childhood Burkitt’s and Large Cell Diffuse Malignant Non-Hodgkin Lymphoma (MNHL)". W 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.
Pełny tekst źródłaMorimoto, Yasuo, Chinatsu Nishida, Taisuke Tomonaga i 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?" W Malignant Pleural Mesothelioma, 65–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9158-7_6.
Pełny tekst źródłaStreszczenia konferencji na temat "Prediction Of Malignant"
Sharma, Kriti, Brahmini Muktha, Apoorva Rani i Chandrasegar Thirumalai. "Prediction of benign and malignant tumor". W 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300871.
Pełny tekst źródłaMittal, Veena, Chandra Kant, Kartikey Pandey i Dinesh Pratap Singh. "Prediction of Benign or Malignant Human Cells using Artificial Intelligence". W 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2021. http://dx.doi.org/10.1109/icac3n53548.2021.9725525.
Pełny tekst źródłaGao, Zixiong, Yufan Chen, Wuping Mai, Yao Lu, Shuyu Wu i Hongmei Liu. "Multi-task learning of perceptive feature for thyroid malignant probability prediction". W Computer-Aided Diagnosis, redaktorzy Karen Drukker i Maciej A. Mazurowski. SPIE, 2021. http://dx.doi.org/10.1117/12.2580697.
Pełny tekst źródłaMa, Yue, Lin Liu, Jiayan Liu, Kaiming Xue, Zhe Zhou i Mengchao Zhang. "Prediction of Benign and Malignant Thymic Tumors based on Radiomics Features". W 2019 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2019. http://dx.doi.org/10.1109/icma.2019.8816280.
Pełny tekst źródłaKamarudin, Saddam, Ishkrizat Taib, Maliki Adnan, Fitriah Nasir, Ahmad Mubarak Tajul Ariffin, Nor Adrian Nor Salim, Nofrizal Idris Darlis, Mohd Noor Abdullah i Ali Kamil. "Prediction of heat distribution on brain malignant tumor using hyperthermia therapy". W 12th INTERNATIONAL CONFERENCE ON MECHANICAL AND MANUFACTURING ENGINEERING 2022 (ICME’22). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0183646.
Pełny tekst źródłaPromtan, Santad, Phungern Khongthong i Chidchanok Choksuchat. "Breast Cancer Prediction of Benign and Malignant Tumors by Classification Algorithms". W 2023 4th International Conference on Big Data Analytics and Practices (IBDAP). IEEE, 2023. http://dx.doi.org/10.1109/ibdap58581.2023.10271967.
Pełny tekst źródłaGoh, Jasmine, Sanjay de Mel, Anand D. Jeyasekharan i Edward K. H. Chow. "Abstract PO-51: Drug combination analytics platform for accurate prediction of treatment response in refractory and relapsed lymphomas". W 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.
Pełny tekst źródłaWei Heng, Wei, Eileen Su Lee Ming, Ahmad Nizar Jamaluddin, Fauzan Khairi Che Harun, Nurul Ashikin Abdul-Kadir i Che Fai Yeong. "Prediction Algorithm of Malignant Ventricular Arrhythmia Validated across Multiple Online Public Databases". W 2019 Computing in Cardiology Conference. Computing in Cardiology, 2019. http://dx.doi.org/10.22489/cinc.2019.295.
Pełny tekst źródłaLeng, William Mok Wen, Wei Wei Heng i Nurul Ashikin Abdul-Kadir. "Earlier Prediction Algorithm of Malignant Ventricular Arrhythmia on Heterogenous Databases: A Review". W 2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2022. http://dx.doi.org/10.1109/icicyta57421.2022.10037936.
Pełny tekst źródłaWang, Jun, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang i Jie Tian. "Prediction of malignant and benign of lung tumor using a quantitative radiomic method". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Prediction Of Malignant"
Huang, Wei, Dahong Yang, Danyang Fan, Chao Hou i 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, grudzień 2021. http://dx.doi.org/10.37766/inplasy2021.12.0077.
Pełny tekst źródłaGareau, Paul, i Brian K. Rutt. Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2000. http://dx.doi.org/10.21236/ada390993.
Pełny tekst źródłaLochab, Dr Prachi, Dr Lata Rajoria, Dr Sunita Hemani i 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, luty 2023. http://dx.doi.org/10.36106/ijar/5405931.
Pełny tekst źródłaLi, Yu, Yi-Biing Shi i 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, październik 2023. http://dx.doi.org/10.37766/inplasy2023.10.0042.
Pełny tekst źródłaBai, Tian, Li-Juan Wen i 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, październik 2021. http://dx.doi.org/10.37766/inplasy2021.10.0006.
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