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CNN Models for Early Bone Cancer Detection by Marufa Nowrin is a document available to read on EtoBox.

What is CNN Models for Early Bone Cancer Detection about?

This study compares various CNN-based deep learning architectures for the early diagnosis of bone cancer using CT images. It employs image processing techniques such as K-means clustering and Canny edge detection to classify normal and cancerous bone images, achieving a notable accuracy of 100% with the AlexNet model. The research emphasizes the importance of early detection in improving survival rates for patients with bone cancer.

Author

Marufa Nowrin

Language

EN