PRECISE, PORTABLE, NON-INVASIVE MELANOMA DETECTION DEVICE USING IMAGE-BASED DEEP LEARNING APPROACH

Abstract: various examples are provided related to detection of melanoma using an image-based deep learning approach. in one example, a portable melanoma detection device includes an imaging device and a processing or computing device. the processing or computing device can receive an image of a skin blemish captured by the imaging device; analyze the image to determine a condition of the skin blemish, the condition indicating whether the skin blemish is malignant or benign; and render the image for display in a user interface. the image can be displayed with the condition of the skin blemish. in another example, a method for melanoma detection includes acquiring an image of a skin blemish captured by an imaging device; analyzing the image to determine a condition of the skin blemish, the condition indicating whether the skin blemish is malignant or benign; and rendering the image for display in a user interface.

Inventor(s): Shubhan Bhattacharya

CPC Classification: A61B5/444 ({Evaluating skin marks, e.g. mole, nevi, tumour, scar})

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