Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning
Abstract Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric cancers. Epstein–Barr virus (EBV)-positive and microsatellite instability (MSI) / mismatch repair deficient (dMMR) tumors have been reported to be highly responsive to ICIs. However, detecting...
Enregistré dans:
Auteurs principaux: | Munetoshi Hinata, Tetsuo Ushiku |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e099685c365a4f5fb19c30cab42e1569 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Deep learning classification of lung cancer histology using CT images
par: Tafadzwa L. Chaunzwa, et autres
Publié: (2021) -
Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning
par: Zhigang Song, et autres
Publié: (2020) -
Identification of gastric cancer subtypes based on pathway clustering
par: Lin Li, et autres
Publié: (2021) -
Evaluation of Therapeutic Targets in Histological Subtypes of Bladder Cancer
par: Sophie Wucherpfennig, et autres
Publié: (2021) -
Imaging features of histological subtypes of hepatocellular carcinoma: Implication for LI-RADS
par: Roberto Cannella, et autres
Publié: (2021)