158 related articles for article (PubMed ID: 37133847)
1. Assessment of Diagnostic Performance of Dermatologists Cooperating With a Convolutional Neural Network in a Prospective Clinical Study: Human With Machine.
Winkler JK; Blum A; Kommoss K; Enk A; Toberer F; Rosenberger A; Haenssle HA
JAMA Dermatol; 2023 Jun; 159(6):621-627. PubMed ID: 37133847
[TBL] [Abstract][Full Text] [Related]
2. 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.
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;
Ann Oncol; 2020 Jan; 31(1):137-143. PubMed ID: 31912788
[TBL] [Abstract][Full Text] [Related]
3. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening?
Cerminara SE; Cheng P; Kostner L; Huber S; Kunz M; Maul JT; Böhm JS; Dettwiler CF; Geser A; Jakopović C; Stoffel LM; Peter JK; Levesque M; Navarini AA; Maul LV
Eur J Cancer; 2023 Sep; 190():112954. PubMed ID: 37453242
[TBL] [Abstract][Full Text] [Related]
4. Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.
Sies K; Winkler JK; Fink C; Bardehle F; Toberer F; Buhl T; Enk A; Blum A; Rosenberger A; Haenssle HA
Eur J Cancer; 2020 Aug; 135():39-46. PubMed ID: 32534243
[TBL] [Abstract][Full Text] [Related]
5. Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition.
Winkler JK; Sies K; Fink C; Toberer F; Enk A; Abassi MS; Fuchs T; Haenssle HA
Eur J Cancer; 2021 Mar; 145():146-154. PubMed ID: 33465706
[TBL] [Abstract][Full Text] [Related]
6. Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas.
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
J Eur Acad Dermatol Venereol; 2020 Jun; 34(6):1355-1361. PubMed ID: 31856342
[TBL] [Abstract][Full Text] [Related]
7. Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition.
Winkler JK; Fink C; Toberer F; Enk A; Deinlein T; Hofmann-Wellenhof R; Thomas L; Lallas A; Blum A; Stolz W; Haenssle HA
JAMA Dermatol; 2019 Oct; 155(10):1135-1141. PubMed ID: 31411641
[TBL] [Abstract][Full Text] [Related]
8. Skin lesions of face and scalp - Classification by a market-approved convolutional neural network in comparison with 64 dermatologists.
Haenssle HA; Winkler JK; Fink C; Toberer F; Enk A; Stolz W; Deinlein T; Hofmann-Wellenhof R; Kittler H; Tschandl P; Rosendahl C; Lallas A; Blum A; Abassi MS; Thomas L; Tromme I; Rosenberger A;
Eur J Cancer; 2021 Feb; 144():192-199. PubMed ID: 33370644
[TBL] [Abstract][Full Text] [Related]
9. Observational study investigating the level of support from a convolutional neural network in face and scalp lesions deemed diagnostically 'unclear' by dermatologists.
Kommoss KS; Winkler JK; Mueller-Christmann C; Bardehle F; Toberer F; Stolz W; Kraenke T; Hofmann-Wellenhof R; Blum A; Enk A; Rosenberger A; Haenssle HA
Eur J Cancer; 2023 May; 185():53-60. PubMed ID: 36963352
[TBL] [Abstract][Full Text] [Related]
10. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.
Haenssle HA; Fink C; Schneiderbauer R; Toberer F; Buhl T; Blum A; Kalloo A; Hassen ABH; Thomas L; Enk A; Uhlmann L; ; Alt C; Arenbergerova M; Bakos R; Baltzer A; Bertlich I; Blum A; Bokor-Billmann T; Bowling J; Braghiroli N; Braun R; Buder-Bakhaya K; Buhl T; Cabo H; Cabrijan L; Cevic N; Classen A; Deltgen D; Fink C; Georgieva I; Hakim-Meibodi LE; Hanner S; Hartmann F; Hartmann J; Haus G; Hoxha E; Karls R; Koga H; Kreusch J; Lallas A; Majenka P; Marghoob A; Massone C; Mekokishvili L; Mestel D; Meyer V; Neuberger A; Nielsen K; Oliviero M; Pampena R; Paoli J; Pawlik E; Rao B; Rendon A; Russo T; Sadek A; Samhaber K; Schneiderbauer R; Schweizer A; Toberer F; Trennheuser L; Vlahova L; Wald A; Winkler J; Wölbing P; Zalaudek I
Ann Oncol; 2018 Aug; 29(8):1836-1842. PubMed ID: 29846502
[TBL] [Abstract][Full Text] [Related]
11. Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real-world study about the pitfalls of augmented intelligence.
Goessinger EV; Cerminara SE; Mueller AM; Gottfrois P; Huber S; Amaral M; Wenz F; Kostner L; Weiss L; Kunz M; Maul JT; Wespi S; Broman E; Kaufmann S; Patpanathapillai V; Treyer I; Navarini AA; Maul LV
J Eur Acad Dermatol Venereol; 2024 May; 38(5):945-953. PubMed ID: 38158385
[TBL] [Abstract][Full Text] [Related]
12. Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.
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
JAMA Dermatol; 2019 Jan; 155(1):58-65. PubMed ID: 30484822
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
Maron RC; Utikal JS; Hekler A; Hauschild A; Sattler E; Sondermann W; Haferkamp S; Schilling B; Heppt MV; Jansen P; Reinholz M; Franklin C; Schmitt L; Hartmann D; Krieghoff-Henning E; Schmitt M; Weichenthal M; von Kalle C; Fröhling S; Brinker TJ
J Med Internet Res; 2020 Sep; 22(9):e18091. PubMed ID: 32915161
[TBL] [Abstract][Full Text] [Related]
14. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
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;
Eur J Cancer; 2019 Sep; 119():57-65. PubMed ID: 31419752
[TBL] [Abstract][Full Text] [Related]
15. Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults.
Dinnes J; Deeks JJ; Chuchu N; Ferrante di Ruffano L; Matin RN; Thomson DR; Wong KY; Aldridge RB; Abbott R; Fawzy M; Bayliss SE; Grainge MJ; Takwoingi Y; Davenport C; Godfrey K; Walter FM; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD011902. PubMed ID: 30521682
[TBL] [Abstract][Full Text] [Related]
16. Clinical and Histopathologic Characteristics of Melanocytic Lesions on the Volar Skin Without Typical Dermoscopic Patterns.
Mikoshiba Y; Minagawa A; Koga H; Yokokawa Y; Uhara H; Okuyama R
JAMA Dermatol; 2019 May; 155(5):578-584. PubMed ID: 30865233
[TBL] [Abstract][Full Text] [Related]
17. Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.
Ferrante di Ruffano L; Takwoingi Y; Dinnes J; Chuchu N; Bayliss SE; Davenport C; Matin RN; Godfrey K; O'Sullivan C; Gulati A; Chan SA; Durack A; O'Connell S; Gardiner MD; Bamber J; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013186. PubMed ID: 30521691
[TBL] [Abstract][Full Text] [Related]
18. Does sex matter? Analysis of sex-related differences in the diagnostic performance of a market-approved convolutional neural network for skin cancer detection.
Sies K; Winkler JK; Fink C; Bardehle F; Toberer F; Buhl T; Enk A; Blum A; Stolz W; Rosenberger A; Haenssle HA
Eur J Cancer; 2022 Mar; 164():88-94. PubMed ID: 35182926
[TBL] [Abstract][Full Text] [Related]
19. A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.
Tognetti L; Bonechi S; Andreini P; Bianchini M; Scarselli F; Cevenini G; Moscarella E; Farnetani F; Longo C; Lallas A; Carrera C; Puig S; Tiodorovic D; Perrot JL; Pellacani G; Argenziano G; Cinotti E; Cataldo G; Balistreri A; Mecocci A; Gori M; Rubegni P; Cartocci A
J Dermatol Sci; 2021 Feb; 101(2):115-122. PubMed ID: 33358096
[TBL] [Abstract][Full Text] [Related]
20. Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations.
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
Eur J Cancer; 2020 Mar; 127():21-29. PubMed ID: 31972395
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]