Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning

OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers, but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), histological grading is a poor predictor of disease...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:Gut
المؤلفون الرئيسيون: Sirinukunwattana, Korsuk, Domingo, Enric, Richman, Susan D, Redmond, Keara L, Blake, Andrew, Verrill, Clare, Leedham, Simon J, Chatzipli, Aikaterini, Hardy, Claire, Whalley, Celina M, Wu, Chieh-hsi, Beggs, Andrew D, McDermott, Ultan, Dunne, Philip D, Meade, Angela, Walker, Steven M, Murray, Graeme I, Samuel, Leslie, Seymour, Matthew, Tomlinson, Ian, Quirke, Phil, Maughan, Timothy, Rittscher, Jens, Koelzer, Viktor H
التنسيق: Artigo
اللغة:Inglês
منشور في: BMJ Publishing Group 2021
الموضوعات:
Artificial Intelligence/Machine Learning
الوصول للمادة أونلاين:https://ncbi.nlm.nih.gov/pmc/articles/PMC7873419/
https://ncbi.nlm.nih.gov/pubmed/32690604
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/gutjnl-2019-319866
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة