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
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