Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions

Melanoma and Skin Cancer

Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks

Eur J Cancer.

Maron RC, Weichenthal M, Utikal JS, Hekler A, Berking C, Hauschild A, Enk AH, Haferkamp S, Klode J, Schadendorf D, Jansen P, Holland-Letz T, Schilling B, von Kalle C, Fröhling S, Gaiser MR, Hartmann D, Gesierich A, Kähler KC, Wehkamp U, Karoglan A, Bär C, Brinker TJ, Collabrators.

doi: 10.1016/j.ejca.2019.06.013.

Melanoma and Skin Cancer

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

JAMA Dermatol.

Tschandl P, Rosendahl C, Akay BN, Argenziano G, Blum A, Braun RP, Cabo H, Gourhant JY, Kreusch J, Lallas A, Lapins J, Marghoob A, Menzies S, Neuber NM, Paoli J, Rabinovitz HS, Rinner C, Scope A, Soyer HP, Sinz C, Thomas L, Zalaudek I, Kittler H

doi: 10.1001/jamadermatol.

Melanoma and Skin Cancer

Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined nevi and melanomas

J Eur Acad Dermatol Venereol.

Fink C, Blum A, Buhl T, Mitteldorf C, Hofmann-Wellenhof R, Deinlein T, Stolz W, Trennheuser L, Cussigh C, Deltgen D, Winkler JK, Toberer F, Enk A, Rosenberger A, Haenssle HA

doi: 10.1111/jdv.16165.

Melanoma and Skin Cancer

Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations

Eur J Cancer.

Winkler JK, Sies K, Fink C, Toberer F, Enk A, Deinlein T, Hofmann-Wellenhof R, Thomas L, Lallas A, Blum A, Stolz W, Abassi MS, Fuchs T, Rosenberger A, Haenssle HA

doi: 10.1016/j.ejca.2019.11.020.

COMMENTED

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

Lancet Oncol.

Tschandl P, Codella N, Akay BN, Argenziano G, Braun RP, Cabo H, Gutman D, Halpern A, Helba B, Hofmann-Wellenhof R, Lallas A, Lapins J, Longo C, Malvehy J, Marchetti MA, Marghoob A, Menzies S, Oakley A, Paoli J, Puig S, Rinner C, Rosendahl C, Scope A, Sinz C, Soyer HP, Thomas L, Zalaudek I, Kittler H

doi: 10.1016/S1470-

COMMENTED

Melanoma and Skin Cancer

Accuracy of Skin Cancer Diagnosis by Physician Assistants Compared With Dermatologists in a Large Health Care System

JAMA Dermatol.

Anderson AM, Matsumoto M, Saul MI, Secrest AM, Ferris LK

doi: 10.1001/

Melanoma and Skin Cancer

Computer Algorithms Show Potential for Improving Dermatologists' Accuracy to Diagnose Cutaneous Melanoma; Results of ISIC 2017.

J Am Acad Dermatol.

Marchetti MA, Liopyris K, Dusza SW, Codella NCF, Gutman DA, Helba B, Kalloo A, Halpern AC, International Skin Imaging Collaboration (ISIC).

doi: 10.1016/j.jaad.

Rheumatoid Arthritis

Applying cascaded convolutional neural network design further enhances automatic scoring of arthritis disease activity on ultrasound images from rheumatoid arthritis patients

Ann Rheum Dis.

Christensen ABH, Just SA, Andersen JKH, Savarimuthu TR

doi: 10.1136/annrheumdis-2019-216636.

Further Publications Dermatology

Clinical Impact of Skin Lesions in Mastocytosis: A Multicenter Study of the European Competence Network on Mastocytosis (ECNM)

J Invest Dermatol

Aberer E, Sperr WR, Bretterklieber A, Avian A, Hadzijusufovic E, Kluin-Nelemans HC, Elberink HO, van Anrooij B, Niedoszytko M, Lange M, Górska A, Elena C, Brazzelli V, Fortina AB, Caroppo F, Hartmann K, Illerhaus A, Reiter A, Jawhar M, Bonadonna P, Zanotti R, Triggiani M, Parente R, Gotlib J, Doubek M, von Bubnoff N, Fuchs D, Sabato V, Brockow K, Jäkel N, Panse J, Valent P

doi: 10.1016/j.jid.2020.12.030

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Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks

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

Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined nevi and melanomas

Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations

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

Accuracy of Skin Cancer Diagnosis by Physician Assistants Compared With Dermatologists in a Large Health Care System

Computer Algorithms Show Potential for Improving Dermatologists' Accuracy to Diagnose Cutaneous Melanoma; Results of ISIC 2017.

Applying cascaded convolutional neural network design further enhances automatic scoring of arthritis disease activity on ultrasound images from rheumatoid arthritis patients

Clinical Impact of Skin Lesions in Mastocytosis: A Multicenter Study of the European Competence Network on Mastocytosis (ECNM)