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No file available [This article belongs to Volume - 57, Issue - 6]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-06-2025-845
Title : Integrating Transfer Learning and Ensemble Techniques for Accurate Breast Cancer Classification
Latha D U, , Manu Y M, , Varshitha D N,

Abstract : Breast cancer continues to be among the major causes of cancer mortality among women worldwide, with more than 2 million cases and around 680,000 deaths recorded in 2020, as per the World Health Organization (WHO). Early diagnosis is very important, especially in low- and middle-income countries (LMICs) where diagnostic facilities are scarce. In this paper, a non-invasive breast cancer classification system based on thermal infrared imaging and deep learning is suggested. The DMR-IR dataset, whi

Keywords : WHO, Integrating Transfer Learning, Ensemble Techniques, Accurate Breast Cancer Classification Breast, integrating