Philipp Tschandl

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Philipp Tschandl, Cliff Rosendahl, Harald Kittler · Queensland's institutional digital repository (The University of Queensland) · 2018 · 2.8K citations

Computing, Computer Science, Dermatology +16

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Noel Codella, Veronica Rotemberg, Philipp Tschandl et al. · arXiv (Cornell University) · 2019 · 991 citations · Full text

Computing, Computer Science, Dermatology +13

Human–computer collaboration for skin cancer recognition

Philipp Tschandl, Zoé Apalla, Giuseppe Argenziano et al. · Nature Medicine · 2020 · 912 citations · Full text

Computing, Computer Science, Dermatology +13

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Philipp Tschandl, Noel Codella, Bengü Nisa Akay et al. · The Lancet Oncology · 2019 · 539 citations · Full text

Medicine, Dermatology, Health Informatics +16

Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

Philipp Tschandl, Cliff Rosendahl, Bengü Nisa Akay et al. · JAMA Dermatology · 2018 · 331 citations · Full text

Medicine, Dermatology, Oncology +17