Detection of Breast Cancer from Biopsy Images and Classifying Benign and Malignant Using Deep Learning Techniques.

Information Technology

Cancer is a significant public health concern in the present era, and breast cancer is a type of cancer that initiates in the breast and spreads to other parts of the body. It is a major cause of death among women. The uncontrolled growth of cells is the cause of cancer, and there are various types of breast cancer. A proposed model has been developed to address both benign and malignant breast cancer. Computer-aided diagnosis systems play a crucial role in the identification and classification of breast cancer using histopathology and ultrasound images. In recent decades, researchers have demonstrated the capability to automate the initial level identification and classification of tumors. Early detection of breast cancer can improve a patient's chances of survival, and deep learning (DL) and machine learning (ML) techniques have been employed to solve various medical problems. Despite prior scientific research on tumor categorization and identification using different types of models, several limitations have been identified. A dataset shortage makes research challenging. To facilitate automatic detection and diagnosis of breast cancer, a proposed methodology using deep learning techniques has been developed.

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