Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models

Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ghanashyam Sahoo, Ajit Kumar Nayak, Pradyumna Kumar Tripathy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Chandrakanta Mahanty, Saurav Mallik
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Current Oncology
Subjects:
breast cancer relapse
cancer diagnosis
histopathological images
machine learning
ensemble learning
Online Access:https://www.mdpi.com/1718-7729/31/11/486
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1718-7729/31/11/486

Similar Items