Application of Artificial Intelligence Methods and Evaluation Models for Breast Cancer Diagnosis and Prognosis

Abstract

Cancer is a primary global health concern, and accurate diagnosis and prognosis are crucial in patient care. This paper applies the deep learning algorithm CNN to detect and prognosis breast cancer. The results of the conducted experiment are assessed through rigorous evaluation frameworks, ensuring clinical relevance and applicability. The performance of the developed CNN model enhanced the accuracy, efficiency, and reliability of the breast cancer diagnosis and prognosis.