Predicting the HER2 status in oesophageal cancer from tissue microarrays using convolutional neural networks.

Juan I PisulaRabi R DattaLeandra Börner ValdezJan-Robert AvemargJin-On JungPatrick PlumHeike LöserPhilipp LohneisMonique MeuschkeDaniel Pinto Dos SantosFlorian GebauerAlexander QuaasAxel WalchChristiane J BrunsKai LawonnFelix C PoppKatarzyna Bozek

Published in: British journal of cancer (2023)

We demonstrate that our approach not only automates an important diagnostic process for GEA patients but also paves the way for the discovery of new morphological features that were previously unknown for GEA pathology.

Keyphrases

convolutional neural network
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
deep learning
small molecule
prognostic factors
papillary thyroid
patient reported outcomes
squamous cell carcinoma
squamous cell
patient reported