Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Design and Development of a Medical Image Diagnosis System Based on Machine Learning

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

Tulla, Hamid Borkot

Paperback

General Computers

ISBN10: 9999328296
ISBN13: 9789999328296
Publisher: Eliva Press
Published: Dec 5 2025
Pages: 100
Weight: 0.32
Height: 0.21 Width: 6.00 Depth: 9.00
Language: English
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.

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