Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534] (Medical Image Analysis (2022) 81, (S1361841522001815), (10.1016/j.media.2022.102534))

Hualin Wang; Yuhong Zhou; Jiong Zhang; Jianqin Lei; Dongke Sun; Feng Xu; Xiayu Xu

doi:10.1016/j.media.2022.102671

Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534] (Medical Image Analysis (2022) 81, (S1361841522001815), (10.1016/j.media.2022.102534))

Hualin Wang
, Yuhong Zhou
, Jiong Zhang
, Jianqin Lei
, Dongke Sun
, Feng Xu
, Xiayu Xu

生命科学与技术学院

科研成果: 期刊稿件 › 评论/辩论

摘要

The publisher regrets that the abstract graph and Fig. 1 were incorrectly converted to grayscale at publication. Instead, they should have been published in the same color as the images originally submitted by the authors. The publisher would like to apologise for any inconvenience caused.

源语言	英语
文章编号	102671
期刊	Medical Image Analysis
卷	83
DOI	https://doi.org/10.1016/j.media.2022.102671
出版状态	已出版 - 1月 2023

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10.1016/j.media.2022.102671

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引用此

Wang, H., Zhou, Y., Zhang, J., Lei, J., Sun, D., Xu, F., & Xu, X. (2023). Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534] (Medical Image Analysis (2022) 81, (S1361841522001815), (10.1016/j.media.2022.102534)). Medical Image Analysis, 83, 文章 102671. https://doi.org/10.1016/j.media.2022.102671

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title = "Erratum to {\textquoteright} Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation{\textquoteright} [Medical Image Analysis 81 (2022) 102534] (Medical Image Analysis (2022) 81, (S1361841522001815), (10.1016/j.media.2022.102534))",

abstract = "The publisher regrets that the abstract graph and Fig. 1 were incorrectly converted to grayscale at publication. Instead, they should have been published in the same color as the images originally submitted by the authors. The publisher would like to apologise for any inconvenience caused.",

author = "Hualin Wang and Yuhong Zhou and Jiong Zhang and Jianqin Lei and Dongke Sun and Feng Xu and Xiayu Xu",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2023",

month = jan,

doi = "10.1016/j.media.2022.102671",

language = "英语",

volume = "83",

journal = "Medical Image Analysis",

issn = "1361-8415",

publisher = "Elsevier B.V.",

}

Wang, H, Zhou, Y, Zhang, J, Lei, J, Sun, D, Xu, F & Xu, X 2023, 'Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534] (Medical Image Analysis (2022) 81, (S1361841522001815), (10.1016/j.media.2022.102534))', Medical Image Analysis, 卷 83, 102671. https://doi.org/10.1016/j.media.2022.102671

Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534] (Medical Image Analysis (2022) 81, (S1361841522001815), (10.1016/j.media.2022.102534)). / Wang, Hualin; Zhou, Yuhong; Zhang, Jiong 等.
在: Medical Image Analysis, 卷 83, 102671, 01.2023.

科研成果: 期刊稿件 › 评论/辩论

TY - JOUR

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AU - Wang, Hualin

AU - Zhou, Yuhong

AU - Zhang, Jiong

AU - Lei, Jianqin

AU - Sun, Dongke

AU - Xu, Feng

AU - Xu, Xiayu

PY - 2023/1

Y1 - 2023/1

N2 - The publisher regrets that the abstract graph and Fig. 1 were incorrectly converted to grayscale at publication. Instead, they should have been published in the same color as the images originally submitted by the authors. The publisher would like to apologise for any inconvenience caused.

AB - The publisher regrets that the abstract graph and Fig. 1 were incorrectly converted to grayscale at publication. Instead, they should have been published in the same color as the images originally submitted by the authors. The publisher would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85140491790

U2 - 10.1016/j.media.2022.102671

DO - 10.1016/j.media.2022.102671

M3 - 评论/辩论

C2 - 36308862

AN - SCOPUS:85140491790

SN - 1361-8415

VL - 83

JO - Medical Image Analysis

JF - Medical Image Analysis

M1 - 102671

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