The role of data augmentation on the performance of automated lesion classification in the presence of imaging artifacts: An evaluation of the 2019 ISIC Challenge Meeting Abstract


Authors: Mehta, P. P.; Sellitti, J.; Weber, J.; Oh, Y.; Kose, K.; Rotemberg, V.
Abstract Title: The role of data augmentation on the performance of automated lesion classification in the presence of imaging artifacts: An evaluation of the 2019 ISIC Challenge
Meeting Title: Virtual Meeting of the Society for Investigative Dermatology (SID)
Journal Title: Journal of Investigative Dermatology
Volume: 141
Issue: 5 Suppl.
Meeting Dates: 2021 May 3-8
Meeting Location: Virtual Meeting
ISSN: 0022-202X
Publisher: Elsevier Science, Inc.  
Date Published: 2021-05-01
Start Page: S80
Language: English
ACCESSION: WOS:000641872800459
PROVIDER: wos
DOI: 10.1016/j.jid.2021.02.483
Notes: Meeting Abstract: 460 -- Source: Wos
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Kivanc Kose
    81 Kose
  2. Jochen Weber
    15 Weber
  3. Paras Mehta
    14 Mehta
  4. Yuna Oh
    12 Oh