Invention Grant
- Patent Title: Automated skin lesion segmentation using deep side layers
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Application No.: US15642717Application Date: 2017-07-06
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Publication No.: US10373312B2Publication Date: 2019-08-06
- Inventor: Mani Abedini , SeyedBehzad Bozorgtabar , Rajib Chakravorty , Sergey Demyanov , Rahil Garnavi , Zongyuan Ge
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Otterstedt, Wallace & Kammer, LLP
- Agent Grant Johnson
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00

Abstract:
A method for computer-aided diagnosis of skin lesions includes obtaining a dermoscopic image, convolving the dermoscopic image in a plurality of convolutional layers, obtaining deconvolved outputs of at least two convolutional layers of the plurality of convolutional layers, obtaining side-output feature maps by applying loss functions to the deconvolved outputs of the at least two convolutional layers, obtaining a first concatenated feature map by concatenating the side-output feature maps with different first weights, obtaining a second concatenated feature map by concatenating the side-output feature maps with different second weights, and producing a final score map by convolving the first and second concatenated feature maps in a final convolutional layer followed by a loss layer. Also disclosed: a computer-readable medium embodying instructions for the method, and an apparatus configured to implement the method.
Public/Granted literature
- US20180130203A1 AUTOMATED SKIN LESION SEGMENTATION USING DEEP SIDE LAYERS Public/Granted day:2018-05-10
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