969 related articles for article (PubMed ID: 29352285)
1. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.
Han SS; Park GH; Lim W; Kim MS; Na JI; Park I; Chang SE
PLoS One; 2018; 13(1):e0191493. PubMed ID: 29352285
[TBL] [Abstract][Full Text] [Related]
2. Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis.
Kim YJ; Han SS; Yang HJ; Chang SE
PLoS One; 2020; 15(6):e0234334. PubMed ID: 32525908
[TBL] [Abstract][Full Text] [Related]
3. Deep learning-based diagnosis models for onychomycosis in dermoscopy.
Zhu X; Zheng B; Cai W; Zhang J; Lu S; Li X; Xi L; Kong Y
Mycoses; 2022 Apr; 65(4):466-472. PubMed ID: 35119144
[TBL] [Abstract][Full Text] [Related]
4. OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.
Prahs P; Radeck V; Mayer C; Cvetkov Y; Cvetkova N; Helbig H; Märker D
Graefes Arch Clin Exp Ophthalmol; 2018 Jan; 256(1):91-98. PubMed ID: 29127485
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.
Cha YJ; Jang WI; Kim MS; Yoo HJ; Paik EK; Jeong HK; Youn SM
Anticancer Res; 2018 Sep; 38(9):5437-5445. PubMed ID: 30194200
[TBL] [Abstract][Full Text] [Related]
9. Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.
McAllister P; Zheng H; Bond R; Moorhead A
Comput Biol Med; 2018 Apr; 95():217-233. PubMed ID: 29549733
[TBL] [Abstract][Full Text] [Related]
10. Deep Convolutional Neural Networks for breast cancer screening.
Chougrad H; Zouaki H; Alheyane O
Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
[TBL] [Abstract][Full Text] [Related]
11. Comparison of direct smear, culture and histology for the diagnosis of onychomycosis.
Karimzadegan-Nia M; Mir-Amin-Mohammadi A; Bouzari N; Firooz A
Australas J Dermatol; 2007 Feb; 48(1):18-21. PubMed ID: 17222296
[TBL] [Abstract][Full Text] [Related]
12. Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization.
Wang S; Xing Y; Zhang L; Gao H; Zhang H
Comput Math Methods Med; 2019; 2019():7546215. PubMed ID: 31641370
[TBL] [Abstract][Full Text] [Related]
13. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
14. Diagnosing onychomycosis.
Gupta AK; Ricci MJ
Dermatol Clin; 2006 Jul; 24(3):365-9. PubMed ID: 16798434
[TBL] [Abstract][Full Text] [Related]
15. Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.
Han SS; Kim MS; Lim W; Park GH; Park I; Chang SE
J Invest Dermatol; 2018 Jul; 138(7):1529-1538. PubMed ID: 29428356
[TBL] [Abstract][Full Text] [Related]
16. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
17. Superior skin cancer classification by the combination of human and artificial intelligence.
Hekler A; Utikal JS; Enk AH; Hauschild A; Weichenthal M; Maron RC; Berking C; Haferkamp S; Klode J; Schadendorf D; Schilling B; Holland-Letz T; Izar B; von Kalle C; Fröhling S; Brinker TJ;
Eur J Cancer; 2019 Oct; 120():114-121. PubMed ID: 31518967
[TBL] [Abstract][Full Text] [Related]
18. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
Hu W; Zhang Y; Li L
Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.
Treder M; Lauermann JL; Eter N
Graefes Arch Clin Exp Ophthalmol; 2018 Nov; 256(11):2053-2060. PubMed ID: 30091055
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]