Gian Juno Pabaha Panjaitan

COMPARISON OF CNN AND SVM FOR BONE CANCER DISEASE CLASSIFICATION BASED ON IMAGE DATA

Results confirm that the synergy between CNN hierarchical feature extraction and SVM classification robustness can significantly minimize the risk of false negatives, making it highly recommended as a reliable Computer-Aided Diagnosis (CAD) instrument to assist medical practitioners in early detection of bone cancer.