Human–computer collaboration for skin cancer recognition
2020 · Nature Medicine · 854 citations
https://doi.org/10.1038/s41591-020-0942-0
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Philipp Tschandl
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Philipp Tschandl is an academic researcher from Medical University of Vienna. The author has contributed to research in topics: Cutaneous Melanoma Detection and Management & Nonmelanoma Skin Cancer Studies & AI in cancer detection. The author has an h-index of 38, co-authored 156 publications.
ORCID: 0000-0003-0391-7810Papers by this author
worksMultimodal skin lesion classification using deep learning
2018 · Experimental Dermatology · 298 citations
https://doi.org/10.1111/exd.13777
Diagnostic accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions
2011 · Journal of the American Academy of Dermatology · 211 citations
https://doi.org/10.1016/j.jaad.2010.03.039
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
2022 · The Lancet Digital Health · 111 citations
https://doi.org/10.1016/s2589-7500(22)00021-8
Dermatoscopy of flat pigmented facial lesions
2014 · Journal of the European Academy of Dermatology and Venereology · 104 citations
https://doi.org/10.1111/jdv.12483
Dermatoscopy of Neoplastic Skin Lesions: Recent Advances, Updates, and Revisions
2018 · Current Treatment Options in Oncology · 100 citations
https://doi.org/10.1007/s11864-018-0573-6
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