{"product_id":"borkot-hamid-md-tulla-design-and-development-of-a-medical-image-diagnosis-system-based-on-machine-learning-9789999328296","title":"Design and Development of a Medical Image Diagnosis System Based on Machine Learning","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.","brand":"Eliva Press","offers":[{"title":"Default Title","offer_id":53807357165910,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/borkot-hamid-md-tulla-design-and-development-of-a-medical-image-diagnosis-system-based-on-machine-learning-9789999328296","provider":"momoxbooks","version":"1.0","type":"link"}