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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Metrics Over Time
Publication Details
Subfield
Radiology, Nuclear Medicine and Imaging
Field
Medicine
Domain
Health Sciences
Confidence Score
42%
Source
Scholar Data Model