460 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
Year: 2021
Type: article
Authors: P.P. Mehta, J. Sellitti, J. Weber, Y. Oh, K. Kose, V. Rotemberg
Institution: Memorial Sloan Kettering Cancer Center
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W3153189363