NIMG-66. AI-BASED PROGNOSTIC IMAGING BIOMARKERS FOR PRECISION NEUROONCOLOGY AND THE RESPOND CONSORTIUM

AI-based methods have shown great promise in a variety of biomedical research fields, including neurooncologic imaging. For example, machine learning methods have offered informative predictions of overall survival (OS) and progression-free survival (PFS), differentiation between pseudoprogression (...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:Neuro Oncol
المؤلفون الرئيسيون: Davatzikos, Christos, Badve, Chaitra, Kazerooni, Anahita Fathi, Bashyam, Vishnu, Bakas, Spyridon, Colen, Rivka, Mahajan, Abhishek, Balaña, Carmen, Capellades, Jaume, Puig, Josep, Jain, Rajan, Sloan, Andrew E, Marcus, Daniel S, Choi, Yoon Seong, Lee, Seung-Koo, Chang, Jong Hee, Poisson, Laila M, Griffith, Brent, Dicker, Adam P, Flanders, Adam E, Booth, Thomas C, Rathore, Saima, Akbari, Hamed, Sako, Chiharu, Bilello, Michel, Shukla, Gaurav, Brem, Steven, Lustig, Robert, Mohan, Suyash, Nasrallah, MacLean, O’Rourke, Donald M, Bagley, Stephen, Barnholtz-Sloan, Jill S
التنسيق: Artigo
اللغة:Inglês
منشور في: Oxford University Press 2020
الموضوعات:
Neuroimaging
الوصول للمادة أونلاين:https://ncbi.nlm.nih.gov/pmc/articles/PMC7651203/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa215.679
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة