Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification

Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification

Abstract The yearly incidence of breast cancer, which is already among the highest of all cancers, is steadily rising. Without surgical biopsy, predicting the benign or malignant nature of tumors by analyzing various indicators of cell nuclei can effectively assist doctors in diagnosis and reduce pa...

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Bibliographic Details
Main Authors: Mukesh Soni, Mohammed Wasim Bhatt, Paul Ofori-Amanfo
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Applied Sciences
Subjects:
Cancer
Deep learning
SMOTE algorithm
Minority oversampling
Breast cancer
Light-GBM model
Online Access:https://doi.org/10.1007/s42452-025-07390-7
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