1257 related articles for article (PubMed ID: 34739967)
21. 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]
22. Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.
Zhang Q; Liu Y; Mi J; Wang X; Liu X; Zhao F; Xie C; Cui P; Zhang Q; Zhu X
Comput Math Methods Med; 2021; 2021():2602688. PubMed ID: 34552659
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
25. Automatic Classification of Mass Shape and Margin on Mammography with Artificial Intelligence: Deep CNN Versus Radiomics.
Qi L; Lu X; Shen H; Gao Q; Han Z; Zhu J; Meng Y; Wang L; Chen S; Li Y
J Digit Imaging; 2023 Aug; 36(4):1314-1322. PubMed ID: 36932250
[TBL] [Abstract][Full Text] [Related]
26. Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.
Zabihollahy F; Schieda N; Krishna S; Ukwatta E
Eur Radiol; 2020 Sep; 30(9):5183-5190. PubMed ID: 32350661
[TBL] [Abstract][Full Text] [Related]
27. Criticality and clinical department prediction of ED patients using machine learning based on heterogeneous medical data.
Xiao Y; Zhang J; Chi C; Ma Y; Song A
Comput Biol Med; 2023 Oct; 165():107390. PubMed ID: 37659113
[TBL] [Abstract][Full Text] [Related]
28. Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.
Han D; Liu J; Sun Z; Cui Y; He Y; Yang Z
Comput Methods Programs Biomed; 2020 Nov; 196():105651. PubMed ID: 32712571
[TBL] [Abstract][Full Text] [Related]
29. Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.
Ertosun MG; Rubin DL
AMIA Annu Symp Proc; 2015; 2015():1899-908. PubMed ID: 26958289
[TBL] [Abstract][Full Text] [Related]
30. [Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].
Yu YY
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jan; 23(1):33-37. PubMed ID: 31958928
[TBL] [Abstract][Full Text] [Related]
31. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
[TBL] [Abstract][Full Text] [Related]
32. Development of a manufacturer-independent convolutional neural network for the automated identification of vertebral compression fractures in vertebral fracture assessment images using active learning.
Monchka BA; Schousboe JT; Davidson MJ; Kimelman D; Hans D; Raina P; Leslie WD
Bone; 2022 Aug; 161():116427. PubMed ID: 35489707
[TBL] [Abstract][Full Text] [Related]
33. Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease.
Edeh MO; Dalal S; Dhaou IB; Agubosim CC; Umoke CC; Richard-Nnabu NE; Dahiya N
Front Public Health; 2022; 10():892371. PubMed ID: 35570979
[TBL] [Abstract][Full Text] [Related]
34. A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.
Matava C; Pankiv E; Raisbeck S; Caldeira M; Alam F
J Med Syst; 2020 Jan; 44(2):44. PubMed ID: 31897740
[TBL] [Abstract][Full Text] [Related]
35. Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network.
Chen R; Wang M; Lai Y
PLoS One; 2020; 15(7):e0235783. PubMed ID: 32634167
[TBL] [Abstract][Full Text] [Related]
36. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.
Kim J; Kim J; Jang GJ; Lee M
Neural Netw; 2017 Mar; 87():109-121. PubMed ID: 28110106
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.
Lee JH; Kim DH; Jeong SN; Choi SH
J Dent; 2018 Oct; 77():106-111. PubMed ID: 30056118
[TBL] [Abstract][Full Text] [Related]
39. Pattern Recognition of Momentary Mental Workload Based on Multi-Channel Electrophysiological Data and Ensemble Convolutional Neural Networks.
Zhang J; Li S; Wang R
Front Neurosci; 2017; 11():310. PubMed ID: 28611583
[TBL] [Abstract][Full Text] [Related]
40. A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
Mylonas A; Keall PJ; Booth JT; Shieh CC; Eade T; Poulsen PR; Nguyen DT
Med Phys; 2019 May; 46(5):2286-2297. PubMed ID: 30929254
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]