An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer
Author:
Affiliation:
1. University of Warwick,Tissue Image Analytics Centre,Department of Computer Science,UK
2. Queen Mary University of London,Barts Cancer Institute,UK
3. University of Sheffield,School of Clinical Dentistry,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635302.pdf?arnumber=10635302
Reference20 articles.
1. Breast cancer statistics,2022
2. Tumor infiltrating lymphocytes are prognostic in triple negative breast cancer and predictive for trastuzumab benefit in early breast cancer: results from the FinHER trial
3. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014
4. Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy
5. A survey on deep learning in medical image analysis
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