OFS: on fused SAMI filtered handcraft and DSRSENet features for enhanced skin malignancy detection
S. R. Reeja
IntroductionMalignant occurrences are increasing in frequency, and skin cancer is emerging as a significant public health concern. Conventional approaches, encompassing comprehensive procedures such as consulting expert opinions, tend to decelerate the therapeutic process.MethodsA method for classifying skin cancer that incorporates both manually extracted and automatically derived features. This study introduces (i) an innovative method for extracting the feature known as Border Irregularity, w