AUTOMATIC BREAST CANCER DETECTION AND CLASSIFICATION USING OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS (CNNS) IN SMALL HEALTH CAFE IN NIGERIA. The aim of this study is to design, develop, and evaluate an optimized Convolutional Neural Network (CNN) model for the automatic detection.
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Research interests span computer science, artificial intelligence, machine learning, robotics and computer vision, alongside computational approaches to sensing, cancer genomics, materials and sustainable energy.
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