219 related articles for article (PubMed ID: 29257894)
1. Prediction of Multidrug-Resistant TB from CT Pulmonary Images Based on Deep Learning Techniques.
Gao XW; Qian Y
Mol Pharm; 2018 Oct; 15(10):4326-4335. PubMed ID: 29257894
[TBL] [Abstract][Full Text] [Related]
2. Classification of CT brain images based on deep learning networks.
Gao XW; Hui R; Tian Z
Comput Methods Programs Biomed; 2017 Jan; 138():49-56. PubMed ID: 27886714
[TBL] [Abstract][Full Text] [Related]
3. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
[TBL] [Abstract][Full Text] [Related]
4. Agile convolutional neural network for pulmonary nodule classification using CT images.
Zhao X; Liu L; Qi S; Teng Y; Li J; Qian W
Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):585-595. PubMed ID: 29473129
[TBL] [Abstract][Full Text] [Related]
5. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.
Zhang Y; Allem JP; Unger JB; Boley Cruz T
J Med Internet Res; 2018 Nov; 20(11):e10513. PubMed ID: 30452385
[TBL] [Abstract][Full Text] [Related]
6. [A preliminary investigation on a deep learning convolutional neural networks based pulmonary tuberculosis CT diagnostic model].
Wu SC; Wang XJ; Ji JY; Geng G; Zhang ZH; Hou DL
Zhonghua Jie He He Hu Xi Za Zhi; 2021 May; 44(5):450-455. PubMed ID: 34865365
[No Abstract] [Full Text] [Related]
7. Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning.
Hartling S; Sagan V; Sidike P; Maimaitijiang M; Carron J
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30875732
[TBL] [Abstract][Full Text] [Related]
8. A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier.
Chang Y; Lim J; Kim N; Seo JB; Lynch DA
Med Phys; 2013 May; 40(5):051912. PubMed ID: 23635282
[TBL] [Abstract][Full Text] [Related]
9. Three-Class Mammogram Classification Based on Descriptive CNN Features.
Jadoon MM; Zhang Q; Haq IU; Butt S; Jadoon A
Biomed Res Int; 2017; 2017():3640901. PubMed ID: 28191461
[TBL] [Abstract][Full Text] [Related]
10. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
Kutlu H; Avcı E
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
[TBL] [Abstract][Full Text] [Related]
11. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
Hassanzadeh H; Nguyen A; Karimi S; Chu K
J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
[TBL] [Abstract][Full Text] [Related]
12. Enhanced convolutional neural network for plankton identification and enumeration.
Cheng K; Cheng X; Wang Y; Bi H; Benfield MC
PLoS One; 2019; 14(7):e0219570. PubMed ID: 31291356
[TBL] [Abstract][Full Text] [Related]
13. Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning.
Dawud AM; Yurtkan K; Oztoprak H
Comput Intell Neurosci; 2019; 2019():4629859. PubMed ID: 31281335
[TBL] [Abstract][Full Text] [Related]
14. Computed tomography super-resolution using deep convolutional neural network.
Park J; Hwang D; Kim KY; Kang SK; Kim YK; Lee JS
Phys Med Biol; 2018 Jul; 63(14):145011. PubMed ID: 29923839
[TBL] [Abstract][Full Text] [Related]
15. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
Lee H; Hong H; Kim J; Jung DC
Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
[TBL] [Abstract][Full Text] [Related]
16. Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.
Kim GB; Jung KH; Lee Y; Kim HJ; Kim N; Jun S; Seo JB; Lynch DA
J Digit Imaging; 2018 Aug; 31(4):415-424. PubMed ID: 29043528
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Deep learning-enabled system for rapid pneumothorax screening on chest CT.
Li X; Thrall JH; Digumarthy SR; Kalra MK; Pandharipande PV; Zhang B; Nitiwarangkul C; Singh R; Khera RD; Li Q
Eur J Radiol; 2019 Nov; 120():108692. PubMed ID: 31585302
[TBL] [Abstract][Full Text] [Related]
19. A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals.
Wu H; Huang Q; Wang D; Gao L
J Electromyogr Kinesiol; 2018 Oct; 42():136-142. PubMed ID: 30077088
[TBL] [Abstract][Full Text] [Related]
20. Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
Nardelli P; Jimenez-Carretero D; Bermejo-Pelaez D; Washko GR; Rahaghi FN; Ledesma-Carbayo MJ; San Jose Estepar R
IEEE Trans Med Imaging; 2018 Nov; 37(11):2428-2440. PubMed ID: 29993996
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]