PathoSpatialTx_checkpoints
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