{ "item_title" : "Design and Development of a Medical Image Diagnosis System Based on Machine Learning", "item_author" : [" Hamid Borkot Tulla "], "item_description" : "Design and Development of a Medical Image Diagnosis System Based on Machine Learning by Md. Hamid Borkot Tulla is a pioneering undergraduate research project aimed at transforming breast cancer diagnosis. Leveraging the power of deep learning and transfer learning, this study deploys a fine-tuned ResNet50 convolutional neural network on the renowned BreaKHis dataset to classify histopathological breast tissue images as benign or malignant. The model achieved a remarkable accuracy of 81.28% and recall of 94.65%, providing reliable diagnostic support in clinical workflows. This research not only offers a practical AI-driven decision-support system for pathologists but also lays the groundwork for future multi-class classification models and real-time clinical integration in resource-constrained healthcare settings.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/99/932/829/9999328296_b.jpg", "price_data" : { "retail_price" : "49.50", "online_price" : "49.50", "our_price" : "49.50", "club_price" : "49.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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