3.5k citations · 4.9k across the 10 of their papers we have counts for
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cs.CV2018★ 70 cited
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features
Philipp Tschandl, Giuseppe Argenziano, Majid Razmara +1
Background: Automated classification of medical images through neural networks can reach high accuracy rates but lack interpretability. Objectives: To compare the diagnostic accura…
cs.CV2018★ 3.5k cited
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl, Cliff Rosendahl, Harald Kittler
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available datasets of dermatoscopic images. We…