PathoSpatialTx_checkpoints

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Authors: Zhiquan Lin
Cited by: 0

Abstract

This record provides pretrained model checkpoints for PathoSpatialTx, a framework for decoding prognostic spatial archetypes of the tumor microenvironment from breast cancer histopathology. Contents: Checkpoints for the histology-to-immune-program module and downstream pCR/OS models Configuration files and checksum list (if applicable) Usage: download and place the checkpoints under ./checkpoints/ in the GitHub repository: https://github.com/TransLee555/PathoSpatialTx Access and reuse: academic research use only. Please cite the associated manuscript when using these checkpoints.

Fields of Study & Subjects

AI in cancer detection Radiomics and Machine Learning in Medical Imaging Breast Cancer Treatment Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026