Predicting breast cancer recurrence using deep learning

Predicting breast cancer recurrence using deep learning

Abstract Breast cancer and its recurrence are significant health concerns, emphasizing the critical importance of early detection and personalized treatment strategies for improved outcomes. This study introduces the BCR-HDL (Breast Cancer Recurrence using Hybrid Deep Learning) framework, a novel ap...

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Bibliographic Details
Main Authors: Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Applied Sciences
Subjects:
Breast cancer recurrence
Deep learning
Machine learning
Hybrid model
Feature engineering
Online Access:https://doi.org/10.1007/s42452-025-06512-5
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https://doi.org/10.1007/s42452-025-06512-5

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