Design and Development of a Medical Image Diagnosis System Based on Machine Learning: Deep Learning-Powered Breast Cancer Classification Using ResNet50 and the BreaKHis Dataset - Softcover

Tulla, MD Hamid Borkot

 
9789999328296: Design and Development of a Medical Image Diagnosis System Based on Machine Learning: Deep Learning-Powered Breast Cancer Classification Using ResNet50 and the BreaKHis Dataset
Softcover
ISBN 10: 9999328296 ISBN 13: 9789999328296
Verlag: Eliva Press, 2025

Inhaltsangabe

“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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Verlag
Eliva Press
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
9999328296
ISBN 13 
9789999328296
Einband
Taschenbuch
Anzahl der Seiten
98
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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