Al-Derived Tumor-Infiltrating Lymphocytes Enhance the Prediction of Pathologic Complete Response in Early-Stage Triple-Negative Breast Cancer Prospective

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Authors: Xiaoxi Pan, Caner Ercan, Clinton Yam, Lei Huo, Yinyin Yuan
Cited by: 0

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