Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Author:
Funder
Department of Science and Technology of Jilin Province
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference61 articles.
1. INFO: An efficient optimization algorithm based on weighted mean of vectors;Ahmadianfar;Expert Systems with Applications,2022
2. An automatic computer-aided diagnosis system for breast cancer in digital mammograms via deep belief network;Al-Antari;Journal of Medical & Biological Engineering,2018
3. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning;Aljuaid;Computer Methods and Programs in Biomedicine,2022
4. Automated breast cancer detection models based on transfer learning;Alruwaili;Sensors,2022
5. Deep transfer learning-based breast cancer detection and classification model using photoacoustic multimodal images;Althobaiti;BioMed Research International,2022
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