219 related articles for article (PubMed ID: 36606561)
1. Outlier detection in dermatology: Performance of different convolutional neural networks for binary classification of inflammatory skin diseases.
Schielein MC; Christl J; Sitaru S; Pilz AC; Kaczmarczyk R; Biedermann T; Lasser T; Zink A
J Eur Acad Dermatol Venereol; 2023 May; 37(5):1071-1079. PubMed ID: 36606561
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
Brinker TJ; Hekler A; Enk AH; Klode J; Hauschild A; Berking C; Schilling B; Haferkamp S; Schadendorf D; Fröhling S; Utikal JS; von Kalle C;
Eur J Cancer; 2019 Apr; 111():148-154. PubMed ID: 30852421
[TBL] [Abstract][Full Text] [Related]
4. Improving Skin cancer Management with ARTificial Intelligence (SMARTI): protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting.
Felmingham C; MacNamara S; Cranwell W; Williams N; Wada M; Adler NR; Ge Z; Sharfe A; Bowling A; Haskett M; Wolfe R; Mar V
BMJ Open; 2022 Jan; 12(1):e050203. PubMed ID: 34983756
[TBL] [Abstract][Full Text] [Related]
5. Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images.
Hossain SI; de Goër de Herve J; Hassan MS; Martineau D; Petrosyan E; Corbin V; Beytout J; Lebert I; Durand J; Carravieri I; Brun-Jacob A; Frey-Klett P; Baux E; Cazorla C; Eldin C; Hansmann Y; Patrat-Delon S; Prazuck T; Raffetin A; Tattevin P; Vourc'h G; Lesens O; Nguifo EM
Comput Methods Programs Biomed; 2022 Mar; 215():106624. PubMed ID: 35051835
[TBL] [Abstract][Full Text] [Related]
6. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Haggenmüller S; Maron RC; Hekler A; Utikal JS; Barata C; Barnhill RL; Beltraminelli H; Berking C; Betz-Stablein B; Blum A; Braun SA; Carr R; Combalia M; Fernandez-Figueras MT; Ferrara G; Fraitag S; French LE; Gellrich FF; Ghoreschi K; Goebeler M; Guitera P; Haenssle HA; Haferkamp S; Heinzerling L; Heppt MV; Hilke FJ; Hobelsberger S; Krahl D; Kutzner H; Lallas A; Liopyris K; Llamas-Velasco M; Malvehy J; Meier F; Müller CSL; Navarini AA; Navarrete-Dechent C; Perasole A; Poch G; Podlipnik S; Requena L; Rotemberg VM; Saggini A; Sangueza OP; Santonja C; Schadendorf D; Schilling B; Schlaak M; Schlager JG; Sergon M; Sondermann W; Soyer HP; Starz H; Stolz W; Vale E; Weyers W; Zink A; Krieghoff-Henning E; Kather JN; von Kalle C; Lipka DB; Fröhling S; Hauschild A; Kittler H; Brinker TJ
Eur J Cancer; 2021 Oct; 156():202-216. PubMed ID: 34509059
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia M; Codella N; Rotemberg V; Carrera C; Dusza S; Gutman D; Helba B; Kittler H; Kurtansky NR; Liopyris K; Marchetti MA; Podlipnik S; Puig S; Rinner C; Tschandl P; Weber J; Halpern A; Malvehy J
Lancet Digit Health; 2022 May; 4(5):e330-e339. PubMed ID: 35461690
[TBL] [Abstract][Full Text] [Related]
9. The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence.
Huang K; Jiang Z; Li Y; Wu Z; Wu X; Zhu W; Chen M; Zhang Y; Zuo K; Li Y; Yu N; Liu S; Huang X; Su J; Yin M; Qian B; Wang X; Chen X; Zhao S
J Med Internet Res; 2021 Sep; 23(9):e26025. PubMed ID: 34546174
[TBL] [Abstract][Full Text] [Related]
10. Generation of a Melanoma and Nevus Data Set From Unstandardized Clinical Photographs on the Internet.
Cho SI; Navarrete-Dechent C; Daneshjou R; Cho HS; Chang SE; Kim SH; Na JI; Han SS
JAMA Dermatol; 2023 Nov; 159(11):1223-1231. PubMed ID: 37792351
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning Based Classification of Dermatological Disorders.
AlSuwaidan L
Biomed Eng Comput Biol; 2023; 14():11795972221138470. PubMed ID: 37533697
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence for melanoma diagnosis.
Tschandl P
Ital J Dermatol Venerol; 2021 Jun; 156(3):289-299. PubMed ID: 33179882
[TBL] [Abstract][Full Text] [Related]
13. Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.
Höhn J; Hekler A; Krieghoff-Henning E; Kather JN; Utikal JS; Meier F; Gellrich FF; Hauschild A; French L; Schlager JG; Ghoreschi K; Wilhelm T; Kutzner H; Heppt M; Haferkamp S; Sondermann W; Schadendorf D; Schilling B; Maron RC; Schmitt M; Jutzi T; Fröhling S; Lipka DB; Brinker TJ
J Med Internet Res; 2021 Jul; 23(7):e20708. PubMed ID: 34255646
[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. What is AI? Applications of artificial intelligence to dermatology.
Du-Harpur X; Watt FM; Luscombe NM; Lynch MD
Br J Dermatol; 2020 Sep; 183(3):423-430. PubMed ID: 31960407
[TBL] [Abstract][Full Text] [Related]
16. Convolutional neural network assistance significantly improves dermatologists' diagnosis of cutaneous tumours using clinical images.
Ba W; Wu H; Chen WW; Wang SH; Zhang ZY; Wei XJ; Wang WJ; Yang L; Zhou DM; Zhuang YX; Zhong Q; Song ZG; Li CX
Eur J Cancer; 2022 Jul; 169():156-165. PubMed ID: 35569282
[TBL] [Abstract][Full Text] [Related]
17. Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions.
Foahom Gouabou AC; Collenne J; Monnier J; Iguernaissi R; Damoiseaux JL; Moudafi A; Merad D
Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430315
[TBL] [Abstract][Full Text] [Related]
18. The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning.
Jinnai S; Yamazaki N; Hirano Y; Sugawara Y; Ohe Y; Hamamoto R
Biomolecules; 2020 Jul; 10(8):. PubMed ID: 32751349
[TBL] [Abstract][Full Text] [Related]
19. Effects of Label Noise on Deep Learning-Based Skin Cancer Classification.
Hekler A; Kather JN; Krieghoff-Henning E; Utikal JS; Meier F; Gellrich FF; Upmeier Zu Belzen J; French L; Schlager JG; Ghoreschi K; Wilhelm T; Kutzner H; Berking C; Heppt MV; Haferkamp S; Sondermann W; Schadendorf D; Schilling B; Izar B; Maron R; Schmitt M; Fröhling S; Lipka DB; Brinker TJ
Front Med (Lausanne); 2020; 7():177. PubMed ID: 32435646
[TBL] [Abstract][Full Text] [Related]
20. Diagnosing onychomycosis: A step forward?
Gupta AK; Hall DC
J Cosmet Dermatol; 2022 Feb; 21(2):530-535. PubMed ID: 34918448
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
