A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM
Abstract Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the curren...
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Main Authors: | Anas Bilal, Ali Alkhathlan, Faris A. Kateb, Alishba Tahir, Muhammad Shafiq, Haixia Long |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86671-y |
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