2024
DOI: 10.3390/curroncol31110486
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Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models

Ghanashyam Sahoo,
Ajit Kumar Nayak,
Pradyumna Kumar Tripathy
et al.

Abstract: Relapse and metastasis occur in 30–40% of breast cancer patients, even after targeted treatments like trastuzumab for HER2-positive breast cancer. Accurate individual prognosis is essential for determining appropriate adjuvant treatment and early intervention. This study aims to enhance relapse and metastasis prediction using an innovative framework with machine learning (ML) and ensemble learning (EL) techniques. The developed framework is analyzed using The Cancer Genome Atlas (TCGA) data, which has 123 HER2… Show more

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