Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning.

Oliver Lester SaldanhaHannah Sophie MutiHeike I GrabschRupert LangerBastian DislichMeike KohlrussGisela KellerMarko van TreeckKatherine Jane HewittFiona R KolbingerGregory Patrick VeldhuizenPeter BoorSebastian FoerschDaniel TruhnJakob Nikolas Kather

Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2022)

Our findings demonstrate the feasibility of SL-based molecular biomarkers in gastric cancer. In the future, SL could be used for collaborative training and, thus, improve the performance of these biomarkers. This may ultimately result in clinical-grade performance and generalizability.

Keyphrases

copy number
deep learning
genome wide
convolutional neural network
quality improvement
current status
optical coherence tomography
gene expression
virtual reality
single molecule
dna methylation