[HTML][HTML] Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets
The field of immunology is fundamental to our understanding of the intricate dynamics of the
tumor microenvironment. In particular, tumor-infiltrating lymphocyte (TIL) assessment …
tumor microenvironment. In particular, tumor-infiltrating lymphocyte (TIL) assessment …
[HTML][HTML] A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes
Abstract Tumor-Infiltrating Lymphocytes (TILs) have strong prognostic and predictive value
in breast cancer, but their visual assessment is subjective. To improve reproducibility, the …
in breast cancer, but their visual assessment is subjective. To improve reproducibility, the …
Deep-learning–based characterization of tumor-infiltrating lymphocytes in breast cancers from histopathology images and multiomics data
PURPOSE Tumor-infiltrating lymphocytes (TILs) and their spatial characterizations on whole-
slide images (WSIs) of histopathology sections have become crucial in diagnosis, prognosis …
slide images (WSIs) of histopathology sections have become crucial in diagnosis, prognosis …
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working …
J Thagaard, G Broeckx, DB Page… - The Journal of …, 2023 - Wiley Online Library
The clinical significance of the tumor‐immune interaction in breast cancer is now
established, and tumor‐infiltrating lymphocytes (TILs) have emerged as predictive and …
established, and tumor‐infiltrating lymphocytes (TILs) have emerged as predictive and …
A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset
Abstract Tumor-Infiltrating Lymphocytes (TILs) have strong prognostic and predictive value
in breast cancer, but their visual assessment is subjective. To improve reproducibility, the …
in breast cancer, but their visual assessment is subjective. To improve reproducibility, the …
[HTML][HTML] A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images
Background and objectives The detection of tumor-infiltrating lymphocytes (TILs) could aid in
the development of objective measures of the infiltration grade and can support decision …
the development of objective measures of the infiltration grade and can support decision …
Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach
This study focuses on the assessment of Tumor-Infiltrating Lymphocytes (TILs) in Breast
ductal carcinoma in situ (DCIS) by integrating artificial intelligence with international …
ductal carcinoma in situ (DCIS) by integrating artificial intelligence with international …
Artificial intelligence–powered tumor-infiltrating lymphocytes analyzer to reveal distinct immune landscapes in breast cancer by molecular subtype and HER2 score.
1049 Background: Tumor-infiltrating lymphocytes (TIL) reflect an ongoing anti-tumor immune
response in the tumor microenvironment (TME) and have been studied as a predictive as …
response in the tumor microenvironment (TME) and have been studied as a predictive as …
[HTML][HTML] Automated detection and scoring of tumor-infiltrating lymphocytes in breast cancer histopathology slides
Simple Summary Tumor-infiltrating lymphocytes have gained a critical role in the newly
developed cancer immunotherapy methods. Traditionally, pathologists and researchers …
developed cancer immunotherapy methods. Traditionally, pathologists and researchers …
[HTML][HTML] Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer
Tumor-infiltrating lymphocytes (TILs) have been recognized as key players in the tumor
microenvironment of breast cancer, but substantial interobserver variability among …
microenvironment of breast cancer, but substantial interobserver variability among …