Noise Adaptation Generative Adversarial Network for Medical Image Analysis (vol 39, pg 1149, 2020)

被引：1

作者：

Miller, Tianyang ^{[1
,2
]}

Cheng, Jun ^{[2
,3
]}

Fu, Huazhu ^{[4
]}

Gu, Zaiwang ^{[5
]}

Xiao, Yuting ^{[6
]}

Zhou, Kang ^{[6
]}

Gao, Shenghua ^{[6
]}

Zheng, Ru ^{[6
]}

Liu, Jiang ^{[2
,5
]}

机构：

[1] Univ Chinese Acad Sci, Coll Mat Sci & Optoelect Technol, Beijing 100049, Peoples R China

[2] Chinese Acad Sci, Cixi Inst Biomed Engn, Ningbo Inst Ind Technol, Ningbo 315201, Zhejiang, Peoples R China

[3] UBTECH Robot CORP Ltd, Shenzhen 518055, Guangdong, Peoples R China

[4] Incept Inst Artificial Intelligence, Abu Dhabi, U Arab Emirates

[5] Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China

[6] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2020年 / 39卷 / 07期

关键词：

D O I：

10.1109/TMI.2020.2988497

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In the above article [1], Tables II, III, and V and Fig. 6 are incorrect. The correct images are provided below:

引用

页码：2566 / 2567

页数：2

共 50 条

[1] Noise Adaptation Generative Adversarial Network for Medical Image Analysis
Zhang, Tianyang
Cheng, Jun
Fu, Huazhu
Gu, Zaiwang
Xiao, Yuting
Zhou, Kang
Gao, Shenghua
Zheng, Rui
Liu, Jiang
[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 39 (04) : 1149 - 1159
[2] Unsupervised domain adaptation network for medical image segmentation with generative adversarial networks
Huang, Xiji
Chen, Lingna
[J]. PROCEEDINGS OF 2024 3RD INTERNATIONAL CONFERENCE ON CYBER SECURITY, ARTIFICIAL INTELLIGENCE AND DIGITAL ECONOMY, CSAIDE 2024, 2024, : 380 - 382
[3] A GENERATIVE ADVERSARIAL NETWORK FOR MEDICAL IMAGE FUSION
Le, Zhuliang
Huang, Jun
Fan, Fan
Tian, Xin
Ma, Jiayi
[J]. 2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 370 - 374
[4] The Role of Generative Adversarial Network in Medical Image Analysis: An In-depth Survey
Alamir, Manal
Alghamdi, Manal
[J]. ACM COMPUTING SURVEYS, 2023, 55 (05)
[5] Unpaired medical image colorization using generative adversarial network
Liang, Yihuai
Lee, Dongho
Li, Yan
Shin, Byeong-Seok
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (19) : 26669 - 26683
[6] Unpaired medical image colorization using generative adversarial network
Yihuai Liang
Dongho Lee
Yan Li
Byeong-Seok Shin
[J]. Multimedia Tools and Applications, 2022, 81 : 26669 - 26683
[7] Medical applications of generative adversarial network: a visualization analysis
Zhang, Fan
Wang, Luyao
Zhao, Jiayin
Zhang, Xinhong
[J]. ACTA RADIOLOGICA, 2023, 64 (10) : 2757 - 2767
[8] Image Blind Denoising With Generative Adversarial Network Based Noise Modeling
Chen, Jingwen
Chen, Jiawei
Chao, Hongyang
Yang, Ming
[J]. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 3155 - 3164
[9] Real Photographs Denoising with Noise Domain Adaptation and Attentive Generative Adversarial Network
Lin, Kai
Li, Thomas H.
Liu, Shan
Li, Ge
[J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 1717 - 1721
[10] GENERATIVE ADVERSARIAL SEMI-SUPERVISED NETWORK FOR MEDICAL IMAGE SEGMENTATION
Li, Chuchen
Liu, Huafeng
[J]. 2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2021, : 303 - 306

← 1 2 3 4 5 →