Article

Exploit Spatially Resolved Transcriptomic Data to Infer Cellular Features from Pathology Imaging Data

2024-08-07

Abstract excerpt

Digital pathology is a rapidly advancing field where deep learning methods can be employed to extract meaningful imaging features. However, the efficacy of training deep learning models is often hindered by the scarcity of annotated pathology images, particularly images with detailed annotations for small image patches or tiles. To overcome this challenge, we propose an innovative approach that leverages paired sp...

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Literature Corpus work: a302dcaf-3f20-5779-a262-6cc80a7aaf21
DOI: 10.1101/2024.08.05.606654

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