Predicting survival from colorectal cancer histology slides using deep learning: A re... | RTCL.TV
Channel: Medicine RTCL TV
Date: 2024-04-03

### Keywords ###
#neuralnetworks #convolutionalneural #extractprognosticators #stainedtissue #tissueslides #colorectalcancer #CRCtissue #RTCLTV

### Article Attribution ###
Title: Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
Authors: Jakob Nikolas Kather, Johannes Krisam, Pornpimol Charoentong, Tom Luedde, Esther Herpel, Cleo-Aron Weis, Timo Gaiser, Alexander Marx, Nektarios A Valous, Dyke Ferber, Lina Jansen, Constantino Carlos Reyes-Aldasoro, Inka Zörnig, Dirk Jäger, Hermann Brenner, Jenny Chang-Claude, Michael Hoffmeister ,and Niels Halama
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pmed.1002730
DOAJ URL: https://doaj.org/article/69f723b13b8e485f89d9e894d4950d62



### Image Attribution ###
We used stable diffusion to programmatically generate the images. Viewer discretion is advised.
Software Attribution: https://github.com/brycedrennan/imaginAIry

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### Video Timestamps ###
0:00:00 - Summary 
0:01:09 - Title 
0:01:17 - Tail 
0:01:20 - End