Al-Derived Tumor-Infiltrating Lymphocytes Enhance the Prediction of Pathologic Complete Response in Early-Stage Triple-Negative Breast Cancer Prospective
Abstract
This repository contains model and small image tiles of annotations curated from ARTEMIS biopsy slides - de-identified information from 26 patients with breast cancer, used for model development in the paper entitled with 'Al-Derived Tumor-Infiltrating Lymphocytes Enhance the Prediction of Pathologic Complete Response in Early-Stage Triple-Negative Breast Cancer'. These data are provided solely for the purpose of peer review and should not be used for any other purpose prior to the publication of the manuscript.
Fields of Study & Subjects
AI in cancer detection
Breast Cancer Treatment Studies
Cancer Immunotherapy and Biomarkers
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026
- Document type
- Dataset