Hyper-fusion network for semi-automatic segmentation of skin lesions

Author:

Bi Lei,Fulham Michael,Kim Jinman

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference45 articles.

1. Pattern classification of dermoscopy images: a perceptually uniform model;Abbas;Pattern Recognit.,2013

2. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks;Al-Masni;Comput. Method. Program. Biomed.,2018

3. Improving dermoscopy image classification using color constancy;Barata;IEEE J. Biomed. Health Inform.,2015

4. Step-wise integration of deep class-specific learning for dermoscopic image segmentation;Bi;Pattern Recognit.,2019

5. Dermoscopic Image Segmentation via Multi-Stage Fully Convolutional Networks;Bi;IEEE Trans. Biomed. Eng.,2017

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