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9/28/2020 12:58:54 AM | Browse: 674 | Download: 863
Publication Name Artificial Intelligence in Medical Imaging
Manuscript ID 59085
Country/Territory Italy
Received
2020-08-23 11:20
Peer-Review Started
2020-08-23 11:21
To Make the First Decision
Return for Revision
2020-09-13 03:02
Revised
2020-09-22 21:09
Second Decision
2020-09-23 03:37
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-09-23 05:08
Articles in Press
2020-09-23 05:08
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-09-27 01:07
Publish the Manuscript Online
2020-09-28 00:58
ISSN 2644-3260 (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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Editorial
Article Title Current trends of artificial intelligence in cancer imaging
Manuscript Source Invited Manuscript
All Author List Francesco Verde, Valeria Romeo, Arnaldo Stanzione and Simone Maurea
ORCID
Author(s) ORCID Number
Francesco Verde http://orcid.org/0000-0002-9823-4678
Valeria Romeo http://orcid.org/0000-0002-1603-6396
Arnaldo Stanzione http://orcid.org/0000-0002-7905-5789
Simone Maurea http://orcid.org/0000-0002-8269-3765
Funding Agency and Grant Number
Corresponding Author Valeria Romeo, MD, PhD, Academic Research, Doctor, Research Fellow, Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via S. Pansini 5, Napoli 80131, Italy. valeria.romeo@unina.it
Key Words Artificial intelligence; Machine learning; Deep learning; Oncology; Medical imaging; Cancer imaging
Core Tip Advanced computational systems and availability of multi-dimensional data have led the possibility of artificial intelligence (AI) consisting of machine learning (ML) and deep learning (DL) algorithms to be implemented in healthcare data analysis, with reliable results in the oncology field and particularly in diagnostic imaging tasks. Supervised algorithms are the most common ML models used in medical image analysis, while convolutional neural networks are the main DL approach. AI-based models have demonstrated outperforming results in oncological risk assessment, lesion detection, segmentation, characterization, staging, and therapy response. Growing emerging evidence supports the leading role of AI in all cancer imaging pathways from screening programs to diagnostic and prognostic tasks, boosting the paradigm of precision medicine.
Publish Date 2020-09-28 00:58
Citation Verde F, Romeo V, Stanzione A, Maurea S. Current trends of artificial intelligence in cancer imaging . Artif Intell Med Imaging 2020; 1(3): 87-93
URL https://www.wjgnet.com/2644-3260/full/v1/i3/87.htm
DOI https://dx.doi.org/10.35711/aimi.v1.i3.87
Full Article (PDF) AIMI-1-87.pdf
Full Article (Word) AIMI-1-87.docx
Manuscript File 59085_Auto_Edited.docx
Answering Reviewers 59085-Answering reviewers.pdf
Audio Core Tip 59085-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 59085-Conflict-of-interest statement.pdf
Copyright License Agreement 59085-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 59085-Language certificate.pdf
Peer-review Report 59085-Peer-review(s).pdf
Scientific Misconduct Check 59085-Scientific misconduct check.pdf
Scientific Editor Work List 59085-Scientific editor work list.pdf