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

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

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

Ann Oncol.

Haenssle HA, Fink C, Toberer F, Winkler J, Stolz W, Deinlein T, Hofmann-Wellenhof R, Lallas A, Emmert S, Buhl T, Zutt M, Blum A, Abassi MS, Thomas L, Tromme I, Tschandl P, Enk A, Rosenberger A, Reader Study Level I and Level II Groups.

doi: 10.1016/j.annonc.2019.10.013.

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.

Melanoma and Skin Cancer

Skin cancer in the military: a systematic review of melanoma and non-melanoma skin cancer incidence, prevention, and screening among active duty and veteran personnel

J Am Acad Dermatol.

Riemenschneider K, Liu J, Powers JG

doi: 10.1016/j.jaad.2017.11.062.

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/

COMMENTED

Melanoma and Skin Cancer

Use of sunscreen and risk of melanoma and non-melanoma skin cancer: a systematic review and meta-analysis

Eur J Dermatol.

Silva ESD, Tavares R, Paulitsch FDS, Zhang L

doi: 10.1684/ejd.2018.3251.

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.

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.

Further Publications DermatologyFurther Publications ImmunologyFurther Publications Rheumatology

Standardising the classification of skin tears: validity and reliability testing of the International Skin Tear Advisory Panel (ISTAP) Classification System in 44 countries

Br J Dermatol.

Van Tiggelen H, LeBlanc K, Campbell K, Woo K, Baranoski S, Chang YY, Dunk AM, Gloeckner M, Hevia H, Holloway S, Idensohn P, Karadağ A, Koren E, Kottner J, Langemo D, Ousey K, Pokorná A, Romanelli M, Santos VLCG, Smet S, Tariq G, Van den Bussche K, Van Hecke A, Verhaeghe S, Vuagnat H, Williams A, Beeckman D

doi: 10.1111/bjd.18604.

Related content

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

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

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

Skin cancer in the military: a systematic review of melanoma and non-melanoma skin cancer incidence, prevention, and screening among active duty and veteran personnel

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

Use of sunscreen and risk of melanoma and non-melanoma skin cancer: a systematic review and meta-analysis

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

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

Standardising the classification of skin tears: validity and reliability testing of the International Skin Tear Advisory Panel (ISTAP) Classification System in 44 countries