STIFMap_dataset

Published: 15 September 2022| Version 2 | DOI: 10.17632/vw2bb5jy99.2
Contributor:
Connor Stashko

Description

The dataset used to train and validate neural networks for STIFMap generation. Accompanies the manuscript: ""STIFMap employs a convolutional neural network to reveal spatial mechanical heterogeneity and tension-dependent activation of an epithelial to mesenchymal transition within human breast cancers" Also see https://github.com/cstashko/STIFMaps for model training code and trained models

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Institutions

University of California Berkeley, University of California San Francisco

Categories

Atomic Force Microscopy, Immunohistochemistry, Convolutional Neural Network

License