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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

MD Hamid Borkot Tulla

56,49 €
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Editorial:
Eliva Press
Año de edición:
2025
Materia
Ciencias de la computación
ISBN:
9789999328296
56,49 €
IVA incluido
Disponible

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'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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