Patent ID: 11875479
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 26:
27. A method for diagnosing melanoma and other skin cancers from a dermoscopy image using a diagnostic system including a handcrafted classifier and a deep learning classifier, the method comprising:
performing median color split to the image to separate the image into a plurality of color regions;
performing vessel detection to analyze one or more vessel features;
performing atypical network detection to identify a pigment network whose structure varies in size and shape;
performing salient point detection to detect salient points based on an intensity plane of the image;
performing color detection to detect at least one of a white area, pink shade, a pink blush, and a semi-translucency;
performing hair detection to detect hair and ruler marks on the image;
performing the preceding six steps on the area external to the segmented area of the image;
providing a first analysis result using the manual classifier;
performing deep learning feature detection to automatically detect melanoma and other skin cancer features;
providing a second analysis result using the deep learning classifier based on the automatically detected melanoma and other skin cancer features; and
providing an overall analysis result based on the first analysis result and the second analysis result.