About this document
Deep Learning for Bone Cancer Diagnosis by jvthomasabraham1 is a document available to read on EtoBox.
The document presents a Deep Transfer-Based Bone Cancer Diagnosis (DTBV) system utilizing VGG16 for feature extraction and SVM for classification, achieving a high accuracy of 93.9% in detecting bone cancer from X-ray images. This method addresses the challenges of manual detection by automating the process and employing mutual information statistics for effective feature selection. The proposed system aims to enhance diagnostic efficiency and provide a reliable second opinion for medical professionals.
- Author
- jvthomasabraham1
- Language
- EN