128 related articles for article (PubMed ID: 34735483)
1. Based on improved deep convolutional neural network model pneumonia image classification.
Kong L; Cheng J
PLoS One; 2021; 16(11):e0258804. PubMed ID: 34735483
[TBL] [Abstract][Full Text] [Related]
2. Application of Imaging Examination Based on Deep Learning in the Diagnosis of Viral Senile Pneumonia.
Deng X; Ge X; Xue Q; Liu H
Contrast Media Mol Imaging; 2022; 2022():6964283. PubMed ID: 35694707
[TBL] [Abstract][Full Text] [Related]
3. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.
Salehi M; Mohammadi R; Ghaffari H; Sadighi N; Reiazi R
Br J Radiol; 2021 May; 94(1121):20201263. PubMed ID: 33861150
[TBL] [Abstract][Full Text] [Related]
4. A transfer learning method with deep residual network for pediatric pneumonia diagnosis.
Liang G; Zheng L
Comput Methods Programs Biomed; 2020 Apr; 187():104964. PubMed ID: 31262537
[TBL] [Abstract][Full Text] [Related]
5. Pneumonia detection in chest X-ray images using an ensemble of deep learning models.
Kundu R; Das R; Geem ZW; Han GT; Sarkar R
PLoS One; 2021; 16(9):e0256630. PubMed ID: 34492046
[TBL] [Abstract][Full Text] [Related]
6. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.
Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I
Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641
[TBL] [Abstract][Full Text] [Related]
7. Using deep-learning techniques for pulmonary-thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs.
E L; Zhao B; Guo Y; Zheng C; Zhang M; Lin J; Luo Y; Cai Y; Song X; Liang H
Pediatr Pulmonol; 2019 Oct; 54(10):1617-1626. PubMed ID: 31270968
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.
Kobayashi M; Ishioka J; Matsuoka Y; Fukuda Y; Kohno Y; Kawano K; Morimoto S; Muta R; Fujiwara M; Kawamura N; Okuno T; Yoshida S; Yokoyama M; Suda R; Saiki R; Suzuki K; Kumazawa I; Fujii Y
BMC Urol; 2021 Aug; 21(1):102. PubMed ID: 34353306
[TBL] [Abstract][Full Text] [Related]
9. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211
[TBL] [Abstract][Full Text] [Related]
10. CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images.
Lee YW; Huang SK; Chang RF
Artif Intell Med; 2022 Oct; 132():102382. PubMed ID: 36207088
[TBL] [Abstract][Full Text] [Related]
11. CNN-RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images.
Kanjanasurat I; Tenghongsakul K; Purahong B; Lasakul A
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772394
[TBL] [Abstract][Full Text] [Related]
12. Deep learning classifiers for computer-aided diagnosis of multiple lungs disease.
Ur Rehman A; Naseer A; Karim S; Tamoor M; Naz S
J Xray Sci Technol; 2023; 31(5):1125-1143. PubMed ID: 37522236
[TBL] [Abstract][Full Text] [Related]
13. A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images.
Ukwuoma CC; Qin Z; Belal Bin Heyat M; Akhtar F; Bamisile O; Muaad AY; Addo D; Al-Antari MA
J Adv Res; 2023 Jun; 48():191-211. PubMed ID: 36084812
[TBL] [Abstract][Full Text] [Related]
14. Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.
Rehman MU; Shafique A; Khan KH; Khalid S; Alotaibi AA; Althobaiti T; Ramzan N; Ahmad J; Shah SA; Abbasi QH
Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062422
[TBL] [Abstract][Full Text] [Related]
15. Deep-learning based detection of COVID-19 using lung ultrasound imagery.
Diaz-Escobar J; Ordóñez-Guillén NE; Villarreal-Reyes S; Galaviz-Mosqueda A; Kober V; Rivera-Rodriguez R; Lozano Rizk JE
PLoS One; 2021; 16(8):e0255886. PubMed ID: 34388187
[TBL] [Abstract][Full Text] [Related]
16. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Ardakani AA; Kanafi AR; Acharya UR; Khadem N; Mohammadi A
Comput Biol Med; 2020 Jun; 121():103795. PubMed ID: 32568676
[TBL] [Abstract][Full Text] [Related]
17. CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.
Attallah O
Front Neuroinform; 2021; 15():663592. PubMed ID: 34122031
[TBL] [Abstract][Full Text] [Related]
18. An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach.
Shah U; Abd-Alrazeq A; Alam T; Househ M; Shah Z
Stud Health Technol Inform; 2020 Jun; 272():457-460. PubMed ID: 32604701
[TBL] [Abstract][Full Text] [Related]
19. Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification.
Barros B; Lacerda P; Albuquerque C; Conci A
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450928
[TBL] [Abstract][Full Text] [Related]
20. Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.
Zhou QQ; Wang J; Tang W; Hu ZC; Xia ZY; Li XS; Zhang R; Yin X; Zhang B; Zhang H
Korean J Radiol; 2020 Jul; 21(7):869-879. PubMed ID: 32524787
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
