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

Claim 0:
1. A system for identifying melanoma and other skin cancers in a dermoscopy image or other close-up skin image, the system comprising:
an image analyzer having at least one processor that instantiates components stored in a memory, the components comprising:
a segmenter configured to segment a lesion from the rest of the image,
a handcrafted feature component including:
a median color splitting model for separating the image into a plurality of color regions,
a vessel detection model for detecting elevated vascularity,
an atypical pigment network detection model for identifying a pigment network whose structure varies in size and shape,
a salient point detection model for detecting salient points based on an intensity plane of the image,
a color detection model for detecting at least one of a white area, a pink shade, a pink blush, and a semi-translucency,
an outside-lesion model, obtained by applying at least one of the handcrafted component model features to the area outside the segmented area, and
a manual classifier configured to provide a first analysis result,

a deep learning feature component including: a deep learning feature detector for automatically detecting melanoma and other skin cancer features, and an automatic classifier configured to provide a second analysis result, and
an overall classifier configured to provide an overall analysis result based on the first analysis result and the second analysis result.