One of the worst forms skin cancer is melanoma which can be curable if it diagnosed at an early stage. The earlier diagnosed, better outcome. risk death from directly related to delay in identifying a lesion. A Deep Learning-based computer diagnosing system automated solution clinical assessments overcome this problem. Convolutional Neural Network (CNN) help improve classification rate lesions ...

BACKGROUND Many classification systems for grading pressure ulcers are discussed in the literature. Correct identification and classification of a pressure ulcer is important for accurate reporting of the magnitude of the problem, and for timely prevention. The reliability of pressure ulcer classification systems has rarely been tested. AIMS AND OBJECTIVES The purpose of this paper is to exam...

Background and objectives Convolutional neural networks (CNN) enable accurate diagnosis of medical images perform on or above the level individual physicians. Recently, collective human intelligence (CoHI) was shown to exceed diagnostic accuracy individuals. Thus, performance CoHI (120 dermatologists) versus dermatologists two state-of-the-art CNN investigated. Patients Methods Cross-sectional ...