EBAT: Enhanced Bidirectional and Autoregressive Transformers for Removing Hairs in Hairy Dermoscopic Images-Reference-Cited by-同舟云学术

EBAT: Enhanced Bidirectional and Autoregressive Transformers for Removing Hairs in Hairy Dermoscopic Images

Published:2023 Issue: Volume:11 Page:14225-14235
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Youngchan¹,You Wonsang¹^ORCID

Affiliation:

1. Department of Information and Communication Engineering, Artificial Intelligence and Image Processing Laboratory, Sun Moon University, Asan-si, South Korea

Funder

Support Program for Local Specialized Industry Promotion Business

Start-Up Growth Technology Development Project

Ministry of SMEs and Startups

Basic Science Research Program

BK21 FOUR

Regional Innovation Strategy Project

National Research Foundation of Korea

Ministry of Education, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10041900.pdf?arnumber=10041900

Reference45 articles.

1. Effcient and Effective Automated Digital Hair Removal from Dermoscopy Images

2. Wasserstein GAN;arjovsky;Proc Adv Neural Inf Process Syst,2017

3. A Simple Hair Removal Algorithm from Dermoscopic Images

4. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

5. AN EFFICIENT BLOCK-BASED ALGORITHM FOR HAIR REMOVAL IN DERMOSCOPIC IMAGES

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization;IEEE Access;2023