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idr0042-nirschl-wsideeplearning's Introduction

A Deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Authors

Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi

Description

Cardiac histopathology from human patients with clinical heart failure or cadaveric donor hearts from patients without clinical heart failure.

idr0042-nirschl-wsideeplearning's People

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Forkers

sbesson dominikl snoopycrimecop mukami12 tunazee histopathology

idr0042-nirschl-wsideeplearning's Issues

Add script to set the physical sizes post import

From the submitters, The XY pixel units are 2 microns per pixel (0.5 pixels/micron), so a 250x250 pixel image represents a 500x500 micron field..

Since the raw data were PNG crops, this imaging metadata will need to be populated post import into the database.

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