Instance Segmentation Based on Deep Convolutional Neural Networks and Transfer Learning for Unconstrained Psoriasis Skin Images

Instance Segmentation Based on Deep Convolutional Neural Networks and Transfer Learning for Unconstrained Psoriasis Skin Images

In this paper, an efficient instance segmentation scheme based on deep convolutional neural networks is proposed to deal with unconstrained psoriasis images for computer-aided diagnosis. To achieve instance segmentation, the You Only Look At CoefficienTs (YOLACT) network composed of backbone, featur...

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Bibliographic Details
Main Authors: Guo-Shiang Lin, Kuan-Ting Lai, Jian-Ming Syu, Jen-Yung Lin, Sin-Kuo Chai
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
instance segmentation
deep convolutional neural network
computer-aided diagnosis
YOLACT++
Mask R-CNN
Online Access:https://www.mdpi.com/2076-3417/11/7/3155

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