Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.

Victor Andrew A AntonioNaoaki OnoAkira SaitoTetsuo SatoMd Altaf-Ul-AminShigehiko Kanaya

Published in: International journal of computer assisted radiology and surgery (2018)

This study shows the potential of autoencoders as a feature extraction paradigm and paves the way for a whole slide image analysis tool to predict molecular subtypes of tumors from pathological features.

Keyphrases

deep learning
machine learning
convolutional neural network
single cell
neural network
rna seq
genome wide
risk assessment
dna methylation
human health