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

By Tulla, MD Hamid Borkot

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

By Tulla, MD Hamid Borkot

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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.
Product details
Binding:
Paperback
Number of Pages:
100
Release Date:
2025-07-01
Publication Date:
2025-12-05
Publisher:
Eliva Press
Languages:
Original: English
ISBN10:
9999328296
ISBN13:
9789999328296
Weight:
159 g
Height:
152 cm
Width:
229 cm
Thickness:
6 cm
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