Publication Name	World Journal of Clinical Oncology
Manuscript ID	76066
Country	Germany

Received	2022-02-28 09:42
Peer-Review Started	2022-02-28 09:44
To Make the First Decision
Return for Revision	2022-05-31 01:24
Revised	2022-06-24 11:53
Second Decision	2022-07-21 03:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-07-26 18:10
Articles in Press	2022-07-26 18:10
Publication Fee Transferred
Edit the Manuscript by Language Editor	2022-07-16 04:16
Typeset the Manuscript	2022-08-17 09:36
Publish the Manuscript Online	2022-08-23 09:54

ISSN	2218-4333 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Dermatology
Manuscript Type	Retrospective Study
Article Title	Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma
Manuscript Source	Invited Manuscript
All Author List	Marios Papadakis, Alexandros Paschos, Andreas S Papazoglou, Andreas Manios, Hubert Zirngibl, Georgios Manios and Dimitra Koumaki
ORCID	Author(s) ORCID Number Marios Papadakis http://orcid.org/0000-0002-9020-874X Andreas S Papazoglou http://orcid.org/0000-0003-4981-8121
Funding Agency and Grant Number
Corresponding Author	Marios Papadakis, MD, MSc, PhD, Research Scientist, Surgeon, Department of Surgery II, University of Witten-Herdecke, Heusnerstrasse 40, Wuppertal 42283, Germany. marios_papadakis@yahoo.gr
Key Words	Melanoma; Skin cancer; Image processing; Sentinel lymph node; Presurgical
Core Tip	Computer-aided image analysis can facilitate prediction of sentinel lymph-node positivity. Several color, sharpness and geometry parameters can predict positive lymph node occurrence, while color texture cannot determine sentinel lymph node positivity.
Publish Date	2022-08-23 09:54
Citation	Papadakis M, Paschos A, Papazoglou AS, Manios A, Zirngibl H, Manios G, Koumaki D. Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma. World J Clin Oncol 2022; In press
URL	https://www.wjgnet.com/2218-4333/full/v13/i8/702.htm
DOI	https://dx.doi.org/10.5306/wjco.v13.i8.702

Full Article (PDF)	WJCO-13-702.pdf
Full Article (Word)	WJCO-13-702.docx
Manuscript File	76066_Auto_Edited-LM.docx
Answering Reviewers	76066-Answering reviewers.pdf
Audio Core Tip	76066-Audio core tip.m4a
Biostatistics Review Certificate	76066-Biostatistics Review Certificate.pdf
Conflict-of-Interest Disclosure Form	76066-Conflict-of-interest statement.pdf
Copyright License Agreement	76066-Copyright license agreement.pdf
Institutional Review Board Approval Form or Document	76066-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	76066-Language certificate.pdf
Peer-review Report	76066-Peer-review(s).pdf
Scientific Misconduct Check	76066-Bing-Wang LL-2.png
Scientific Editor Work List	76066-Scientific editor work list.pdf