Artificial intelligence in dermatology—where we are and the way to the future: a review

Hogarty, Daniel T., Su, John C., Phan, Kevin, Attia, Mohamed, Hossny, Mohammed, Nahavandi, Saeid, Lenane, Patricia, Moloney, Fergal J. and Yazdabadi, Anousha 2019, Artificial intelligence in dermatology—where we are and the way to the future: a review, American journal of clinical dermatology, doi: 10.1007/s40257-019-00462-6.

Attached Files
Name Description MIMEType Size Downloads

Title Artificial intelligence in dermatology—where we are and the way to the future: a review
Author(s) Hogarty, Daniel T.
Su, John C.
Phan, Kevin
Attia, Mohamed
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Lenane, Patricia
Moloney, Fergal J.
Yazdabadi, Anousha
Journal name American journal of clinical dermatology
Total pages 7
Publisher Springer
Place of publication Cham, Switzerland
Publication date 2019
ISSN 1175-0561
1179-1888
Language eng
DOI 10.1007/s40257-019-00462-6
Indigenous content off
Field of Research 1103 Clinical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Springer Nature Switzerland AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128239

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 23 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Sat, 27 Jul 2019, 00:12:07 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.