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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

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Melanoma and Skin Cancer

Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma

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AlDubayan SH, Conway JR, Camp SY, Witkowski L, Kofman E, Reardon B, Han S, Moore N, Elmarakeby H, Salari K, Choudhry H, Al-Rubaish AM, Al-Sulaiman AA, Al-Ali AK, Taylor-Weiner A, Van Allen EM

doi: 10.1001/jama.2020.20457

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

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.

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.

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.

COMMENTED

Melanoma and Skin Cancer

Recognition of early melanoma: a monocentric dermoscopy follow-up study comparing de novo melanoma with nevus-associated melanoma

Int J Dermatol.

Alvarez Martinez D, Boehncke WH, Kaya G, Merat R

doi: 10.1111/ijd.13977.

Melanoma and Skin Cancer

A multicenter study of nevus-associated melanoma versus de novo melanoma, tumor thickness and body site differences

Br J Dermatol

Dessinioti C, Geller AC, Stergiopoulou A, Dimou N, Lo S, Keim U, Gershenwald JE, Haydu LE, Dummer R, Mangana J, Hauschild A, Egberts F, Vieira R, Brinca A, Zalaudek I, Deinlein T, Evangelou E, Thompson JF, Scolyer RA, Peris K, Garbe C, Stratigos AJ

doi: 10.1111/bjd.19819

Melanoma and Skin Cancer

Assessment of Deep Learning Using Nonimaging Information and Sequential Medical Records to Develop a Prediction Model for Nonmelanoma Skin Cancer

JAMA Dermatol.

Wang HH, Wang YH, Liang CW, Li YC

doi: 10.1001/jamadermatol.2019.2335.

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

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