1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2026
Toward Artifact-Free Dermoscopy: Characterization of ISIC 2019 Image Defects for Deep Learning Applications
Victoria Wegley, Joshua Hoog, Tristan Crawford +10
The International Skin Imaging Collaboration (ISIC) archive offers the largest publicly available collection of dermoscopic images for skin lesion analysis. However, the ISIC 2019…
cs.CV2023★ 1 cited
Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion
Norsang Lama, R. Joe Stanley, Anand Nambisan +3
Deep learning implemented with convolutional network architectures can exceed specialists' diagnostic accuracy. However, whole-image deep learning trained on a given dataset may no…