Detection And Recognition Method Of Benign Skin Cancer In Dermoscopic Images Using Hybrid Feature Fusion Model

Image Processing and computer-aided diagnostics have become increasingly important in the modern worldof medical diagnosis. This diagnostic procedure has been widely accepted by the medical community for itsbiological imaging applications. According to a recent survey conducted by the American Academy ofDermatology Association (AAD), it is evaluated that 192,310 new instances of melanoma and 95,830favorable cells(noninvasive) cases will be analyzed in the U.S in 2019. In order for this diagnosis to takeplace and in order to identify the reasons behind this, immense technological support along with a thoroughanalysis by medical experts is required. The objective of this paper focuses on developing a recognitionsystem to differentiate and identify benign cells from the affected part of the skin. So that the skin lesion canbe identified as affected or not.