Design and Development of a Medical Image Diagnosis System Based on Machine Learning

By MD Hamid Borkot Tulla

"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.

• Format: Paperback
• Language: English
• ISBN: 9999328296
• ISBN13: 9789999328296
• Release Date: July 2025
• Publisher: Eliva Press
• Length: 100 Pages
• Weight: 0.32 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"