Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer

Rajpoot, Chour Singh; Sharma, Gajanand; Gupta, Praveen; Dadheech, Pankaj; Yahya, Umar; Aneja, Nagender

doi:10.1080/08839514.2024.2340386

Applied Artificial Intelligence

2024

DOI: 10.1080/08839514.2024.2340386

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Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer

Chour Singh Rajpoot,

Gajanand Sharma,

Praveen Gupta

et al.

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Machine Learning for Early Breast Cancer Detection

Chowdhury,

Wang,

et al. 2024

Journal of Engineering and Science in Medical Diagnostics and Therapy

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Globally, breast cancer remains a significant cause to female mortality. Early detection plays a crucial role in reducing premature deaths. Various imaging techniques, including ultrasound, mammogram, magnetic resonance imaging, histopathology, thermography, positron emission tomography, and microwave imaging, have been explored for obtaining breast images. This review article delves into the details of different breast imaging modalities and publicly accessible sources of breast images. The advanced machine learning (ML) technique offers a promising avenue to replace human involvement in detecting cancerous cells from breast images. The article outlines various ML algorithms (MLAs) extensively employed for identifying cancerous cells in images at the early stages, categorizing them based on the presence or absence of malignancy. Additionally, the review addresses current challenges associated with the application of MLAs in breast cancer identification and proposes potential solutions.

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Machine Learning for Early Breast Cancer Detection

Chowdhury,

Wang,

et al. 2024

Journal of Engineering and Science in Medical Diagnostics and Therapy

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show abstract

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Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer

Cited by 1 publication

References 50 publications

Machine Learning for Early Breast Cancer Detection

Machine Learning for Early Breast Cancer Detection

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