170 related articles for article (PubMed ID: 34219975)
1. Images denoising for COVID-19 chest X-ray based on multi-resolution parallel residual CNN.
Jiang X; Zhu Y; Zheng B; Yang D
Mach Vis Appl; 2021; 32(4):100. PubMed ID: 34219975
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.
Naseer A; Tamoor M; Azhar A
J Xray Sci Technol; 2022; 30(1):89-109. PubMed ID: 34842222
[TBL] [Abstract][Full Text] [Related]
4. Incorporation of residual attention modules into two neural networks for low-dose CT denoising.
Li M; Du Q; Duan L; Yang X; Zheng J; Jiang H; Li M
Med Phys; 2021 Jun; 48(6):2973-2990. PubMed ID: 33890681
[TBL] [Abstract][Full Text] [Related]
5. Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.
Gopatoti A; Vijayalakshmi P
J Xray Sci Technol; 2022; 30(3):491-512. PubMed ID: 35213339
[TBL] [Abstract][Full Text] [Related]
6. ERGPNet: lesion segmentation network for COVID-19 chest X-ray images based on embedded residual convolution and global perception.
Yue G; Yang C; Zhao Z; An Z; Yang Y
Front Physiol; 2023; 14():1296185. PubMed ID: 38028767
[TBL] [Abstract][Full Text] [Related]
7. An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images.
Nayak SR; Nayak DR; Sinha U; Arora V; Pachori RB
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611423
[TBL] [Abstract][Full Text] [Related]
8. COVID-19 Diagnosis from Chest X-ray Images Using a Robust Multi-Resolution Analysis Siamese Neural Network with Super-Resolution Convolutional Neural Network.
Monday HN; Li J; Nneji GU; Nahar S; Hossin MA; Jackson J; Ejiyi CJ
Diagnostics (Basel); 2022 Mar; 12(3):. PubMed ID: 35328294
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
V J S; D JF
Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
[TBL] [Abstract][Full Text] [Related]
10. Real-time COVID-19 detection over chest x-ray images in edge computing.
Xu W; Chen B; Shi H; Tian H; Xu X
Comput Intell; 2022 Apr; ():. PubMed ID: 35941908
[TBL] [Abstract][Full Text] [Related]
11. Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images.
Goel T; Murugan R; Mirjalili S; Chakrabartty DK
Appl Soft Comput; 2022 Jan; 115():108250. PubMed ID: 34903956
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset.
Elzeki OM; Abd Elfattah M; Salem H; Hassanien AE; Shams M
PeerJ Comput Sci; 2021; 7():e364. PubMed ID: 33817014
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification.
Sun H; Ren G; Teng X; Song L; Li K; Yang J; Hu X; Zhan Y; Wan SBN; Wong MFE; Chan KK; Tsang HCH; Xu L; Wu TC; Kong FS; Wang YXJ; Qin J; Chan WCL; Ying M; Cai J
Quant Imaging Med Surg; 2023 Jan; 13(1):394-416. PubMed ID: 36620146
[TBL] [Abstract][Full Text] [Related]
15. A residual network-based framework for COVID-19 detection from CXR images.
Kibriya H; Amin R
Neural Comput Appl; 2023; 35(11):8505-8516. PubMed ID: 36536673
[TBL] [Abstract][Full Text] [Related]
16. ENResNet: A novel residual neural network for chest X-ray enhancement based COVID-19 detection.
Ghosh SK; Ghosh A
Biomed Signal Process Control; 2022 Feb; 72():103286. PubMed ID: 34745319
[TBL] [Abstract][Full Text] [Related]
17. Multi-Channel Based Image Processing Scheme for Pneumonia Identification.
Nneji GU; Cai J; Deng J; Monday HN; James EC; Ukwuoma CC
Diagnostics (Basel); 2022 Jan; 12(2):. PubMed ID: 35204418
[TBL] [Abstract][Full Text] [Related]
18. Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays.
Chetoui M; Akhloufi MA
J Clin Med; 2022 May; 11(11):. PubMed ID: 35683400
[TBL] [Abstract][Full Text] [Related]
19. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images.
Xu Y; Lam HK; Jia G
Neurocomputing (Amst); 2021 Jul; 443():96-105. PubMed ID: 33753962
[TBL] [Abstract][Full Text] [Related]
20. Multi-feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data.
Che H; Radbel J; Sunderram J; Nosher JL; Patel VM; Hacihaliloglu I
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2618-2621. PubMed ID: 34891790
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
