Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning
<p><strong>Objective:</strong> 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 gr...
Autors principals: | Sirinukunwattana, K, Domingo-Villanueva, E, Richman, S, Blake, A, Verrill, C, Leedham, SJ, Wu, C-H, Maughan, T, Rittscher, J, Koelzer, VH |
---|---|
Format: | Journal article |
Idioma: | English |
Publicat: |
BMJ Publishing Group
2020
|
Ítems similars
-
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
per: Lafarge, MW, et al.
Publicat: (2024) -
Towards the identification of histology based subtypes in prostate cancer
per: Chatrian, A, et al.
Publicat: (2019) -
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
per: Maxime W. Lafarge, et al.
Publicat: (2024-04-01) -
Consensus molecular subtypes (CMS) in metastatic colorectal cancer - personalized medicine decision
per: Rebersek Martina
Publicat: (2020-05-01) -
Enhancing local context of histology features in vision transformers
per: Wood, R, et al.
Publicat: (2022)