An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer

An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer

Introduction Tumor-infiltrating lymphocytes (TILs) are key indicators of immune response and prognosis in breast cancer (BC). Accurate prediction of TIL levels is essential for guiding personalized treatment strategies. This study aimed to develop and evaluate machine learning models using ultrasoun...

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Bibliographic Details
Main Authors: Boya Liu MM, Xiangrong Gu MM, Danling Xie MM, Bing Zhao BM, Dong Han MD, Yuli Zhang BM, Tao Li PhD, Jingqin Fang MD, PhD
Format: Article
Language:English
Published: SAGE Publishing 2025-04-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338251334453
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