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...
Hauptverfasser: | 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 |
Sprache: | English |
Veröffentlicht: |
BMJ Publishing Group
2020
|
Ähnliche Einträge
Ähnliche Einträge
-
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
von: Lafarge, MW, et al.
Veröffentlicht: (2024) -
Towards the identification of histology based subtypes in prostate cancer
von: Chatrian, A, et al.
Veröffentlicht: (2019) -
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
von: Maxime W. Lafarge, et al.
Veröffentlicht: (2024-04-01) -
Consensus molecular subtypes (CMS) in metastatic colorectal cancer - personalized medicine decision
von: Rebersek Martina
Veröffentlicht: (2020-05-01) -
Enhancing local context of histology features in vision transformers
von: Wood, R, et al.
Veröffentlicht: (2022)