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Analysis and Classification of Skin Spot Images by Extraction of Texture Attributes for Identification of Melanoma
2021
Biomedical Journal of Scientific & Technical Research
The use of Artificial Intelligence techniques has increasingly motivated scientists to detect and classify medical images. It is no different in the field of dermatology, with the use of machine learning to track anomalies of the skin and diagnose cancer, using data sets consisting of dermatoscopic images. The texture analysis of medical images is the result of digital image processing able to extract representative features which may have elements that are impossible to detect through human
doi:10.26717/bjstr.2021.35.005676
fatcat:2daasooe4jhj5p7al7aem4azly