Literature DB >> 35157733

Correction: Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.

Bumshik Lee, Nagaraj Yamanakkanavar, Muhammad Ammar Malik, Jae Young Choi.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0236493.].

Entities:  

Year:  2022        PMID: 35157733      PMCID: PMC8843221          DOI: 10.1371/journal.pone.0264231

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Muhammad Ammar Malik is not included in the author byline. Muhammad Ammar Malik should be listed as the third author, and their affiliations are the Department of Information and Communications Engineering, Chosun University, Gwangju, Republic of Korea and the Department of Informatics, University of Bergen, Bergen, Norway. The correct citation is: Lee B, Yamanakkanavar N, Malik MA, Choi JY (2020) Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture. PLoS ONE 15(8): e0236493. https://doi.org/10.1371/journal.pone.0236493 The contributions of this author are as follows: Formal analysis, Investigation, Methodology, Software, Writing–original draft The complete author contributions are therefore as follows: Conceptualization: BL, JYC Formal analysis: BL, MAM, JYC Funding acquisition: BL Investigation: NY, MAM, JYCMethodology: BL, NY, MAM Project administration: BL Software: BL, NY, MAM Supervision: JYCValidation: NY, JYC, Visualization: NY, JYC Writing–original draft: BL, MAM, JYC Writing–review & editing: BL, NY, JYC
  2 in total

1.  Correction: Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.

Authors: 
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

2.  Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.

Authors:  Bumshik Lee; Nagaraj Yamanakkanavar; Jae Young Choi
Journal:  PLoS One       Date:  2020-08-03       Impact factor: 3.240

  2 in total

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