Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization

Abstract A prompt diagnosis of breast cancer in its earliest phases is necessary for effective treatment. While Computer-Aided Diagnosis systems play a crucial role in automated mammography image processing, interpretation, grading, and early detection of breast cancer, existing approaches face limi...

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Autors principals:	Anas Bilal, Azhar Imran, Talha Imtiaz Baig, Xiaowen Liu, Emad Abouel Nasr, Haixia Long
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2024-05-01
Col·lecció:	Scientific Reports
Matèries:	Breast cancer Grey wolf optimization Support vector machine Quantum computing Medical image analysis
Accés en línia:	https://doi.org/10.1038/s41598-024-61322-w
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