353 related articles for article (PubMed ID: 31617929)
1. Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.
Phillips M; Marsden H; Jaffe W; Matin RN; Wali GN; Greenhalgh J; McGrath E; James R; Ladoyanni E; Bewley A; Argenziano G; Palamaras I
JAMA Netw Open; 2019 Oct; 2(10):e1913436. PubMed ID: 31617929
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Teledermatology for diagnosing skin cancer in adults.
Chuchu N; Dinnes J; Takwoingi Y; Matin RN; Bayliss SE; Davenport C; Moreau JF; Bassett O; Godfrey K; O'Sullivan C; Walter FM; Motley R; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013193. PubMed ID: 30521686
[TBL] [Abstract][Full Text] [Related]
5. Effectiveness of an image analyzing AI-based Digital Health Technology to identify Non-Melanoma Skin Cancer and other skin lesions: results of the DERM-003 study.
Marsden H; Morgan C; Austin S; DeGiovanni C; Venzi M; Kemos P; Greenhalgh J; Mullarkey D; Palamaras I
Front Med (Lausanne); 2023; 10():1288521. PubMed ID: 37869160
[TBL] [Abstract][Full Text] [Related]
6. Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma.
Chuchu N; Takwoingi Y; Dinnes J; Matin RN; Bassett O; Moreau JF; Bayliss SE; Davenport C; Godfrey K; O'Connell S; Jain A; Walter FM; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013192. PubMed ID: 30521685
[TBL] [Abstract][Full Text] [Related]
7. Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies.
Del Rosario F; Farahi JM; Drendel J; Buntinx-Krieg T; Caravaglio J; Domozych R; Chapman S; Braunberger T; Dellavalle RP; Norris DA; Fathi R; Alkousakis T
J Am Acad Dermatol; 2018 May; 78(5):927-934.e6. PubMed ID: 29678380
[TBL] [Abstract][Full Text] [Related]
8. Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trial.
Menzies SW; Sinz C; Menzies M; Lo SN; Yolland W; Lingohr J; Razmara M; Tschandl P; Guitera P; Scolyer RA; Boltz F; Borik-Heil L; Herbert Chan H; Chromy D; Coker DJ; Collgros H; Eghtedari M; Corral Forteza M; Forward E; Gallo B; Geisler S; Gibson M; Hampel A; Ho G; Junez L; Kienzl P; Martin A; Moloney FJ; Regio Pereira A; Ressler JM; Richter S; Silic K; Silly T; Skoll M; Tittes J; Weber P; Weninger W; Weiss D; Woo-Sampson P; Zilberg C; Kittler H
Lancet Digit Health; 2023 Oct; 5(10):e679-e691. PubMed ID: 37775188
[TBL] [Abstract][Full Text] [Related]
9. Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.
Serban ED; Farnetani F; Pellacani G; Constantin MM
Acta Dermatovenerol Croat; 2018 Apr; 26(1):64-67. PubMed ID: 29782304
[TBL] [Abstract][Full Text] [Related]
10. In vivo confocal microscopy: The role of comparative approach in patients with multiple atypical nevi.
Longhitano S; Pampena R; Guida S; De Pace B; Ciardo S; Chester J; Longo C; Farnetani F; Pellacani G
Exp Dermatol; 2020 Oct; 29(10):945-952. PubMed ID: 32748489
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms.
Dascalu A; Walker BN; Oron Y; David EO
J Cancer Res Clin Oncol; 2022 Sep; 148(9):2497-2505. PubMed ID: 34546412
[TBL] [Abstract][Full Text] [Related]
13. Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.
Dinnes J; Deeks JJ; Chuchu N; Matin RN; Wong KY; Aldridge RB; Durack A; Gulati A; Chan SA; Johnston L; Bayliss SE; Leonardi-Bee J; Takwoingi Y; Davenport C; O'Sullivan C; Tehrani H; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD011901. PubMed ID: 30521688
[TBL] [Abstract][Full Text] [Related]
14. Efficacy of smartphone applications in high-risk pigmented lesions.
Ngoo A; Finnane A; McMeniman E; Tan JM; Janda M; Soyer HP
Australas J Dermatol; 2018 Aug; 59(3):e175-e182. PubMed ID: 28240347
[TBL] [Abstract][Full Text] [Related]
15. Pre-operative diagnosis of pigmented skin lesions: in vivo dermoscopy performs better than dermoscopy on photographic images.
Carli P; De Giorgi V; Argenziano G; Palli D; Giannotti B
J Eur Acad Dermatol Venereol; 2002 Jul; 16(4):339-46. PubMed ID: 12224689
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images.
Marchetti MA; Codella NCF; Dusza SW; Gutman DA; Helba B; Kalloo A; Mishra N; Carrera C; Celebi ME; DeFazio JL; Jaimes N; Marghoob AA; Quigley E; Scope A; Yélamos O; Halpern AC;
J Am Acad Dermatol; 2018 Feb; 78(2):270-277.e1. PubMed ID: 28969863
[TBL] [Abstract][Full Text] [Related]
19. Accuracy of Dermoscopic Criteria for the Diagnosis of Melanoma In Situ.
Lallas A; Longo C; Manfredini M; Benati E; Babino G; Chinazzo C; Apalla Z; Papageorgiou C; Moscarella E; Kyrgidis A; Argenziano G
JAMA Dermatol; 2018 Apr; 154(4):414-419. PubMed ID: 29466542
[TBL] [Abstract][Full Text] [Related]
20. Educational and practice gaps in the management of volar melanocytic lesions.
Costello CM; Ghanavatian S; Temkit M; Buras MR; DiCaudo DJ; Swanson DL; Mangold AR
J Eur Acad Dermatol Venereol; 2018 Sep; 32(9):1450-1455. PubMed ID: 29178552
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
