154 related articles for article (PubMed ID: 35935666)
1. A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.
Fang Z; Ren J; MacLellan C; Li H; Zhao H; Hussain A; Fortino G
IEEE Trans Mol Biol Multiscale Commun; 2022 Mar; 8(1):17-27. PubMed ID: 35935666
[TBL] [Abstract][Full Text] [Related]
2. SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images.
Zhao H; Fang Z; Ren J; MacLellan C; Xia Y; Li S; Sun M; Ren K
IEEE J Biomed Health Inform; 2022 Aug; 26(8):4032-4043. PubMed ID: 35613061
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images.
Rajpal S; Lakhyani N; Singh AK; Kohli R; Kumar N
Chaos Solitons Fractals; 2021 Apr; 145():110749. PubMed ID: 33589854
[TBL] [Abstract][Full Text] [Related]
5. COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm.
Poola RG; Pl L; Y SS
Results Eng; 2023 Jun; 18():101020. PubMed ID: 36945336
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network.
Fan Y; Liu J; Yao R; Yuan X
Pattern Recognit; 2021 Nov; 119():108055. PubMed ID: 34103766
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images.
Almalki YE; Qayyum A; Irfan M; Haider N; Glowacz A; Alshehri FM; Alduraibi SK; Alshamrani K; Alkhalik Basha MA; Alduraibi A; Saeed MK; Rahman S
Healthcare (Basel); 2021 Apr; 9(5):. PubMed ID: 33946809
[TBL] [Abstract][Full Text] [Related]
11. A CNN-transformer fusion network for COVID-19 CXR image classification.
Cao K; Deng T; Zhang C; Lu L; Li L
PLoS One; 2022; 17(10):e0276758. PubMed ID: 36301907
[TBL] [Abstract][Full Text] [Related]
12. Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study.
Albahli S; Yar GNAH
J Med Internet Res; 2021 Feb; 23(2):e23693. PubMed ID: 33529154
[TBL] [Abstract][Full Text] [Related]
13. Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images.
Liu J; Sun W; Zhao X; Zhao J; Jiang Z
Biomed Signal Process Control; 2022 Jul; 76():103677. PubMed ID: 35432578
[TBL] [Abstract][Full Text] [Related]
14. LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.
Ukwuoma CC; Qin Z; Agbesi VK; Ejiyi CJ; Bamisile O; Chikwendu IA; Tienin BW; Hossin MA
Comput Biol Med; 2022 Nov; 150():106195. PubMed ID: 37859288
[TBL] [Abstract][Full Text] [Related]
15. Multi-scale semantic enhancement network for object detection.
Guo D; Wu Z; Feng J; Zou T
Sci Rep; 2023 May; 13(1):7178. PubMed ID: 37137973
[TBL] [Abstract][Full Text] [Related]
16. SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset.
Roy S; Tyagi M; Bansal V; Jain V
Comput Biol Med; 2022 Nov; 150():106092. PubMed ID: 36208598
[TBL] [Abstract][Full Text] [Related]
17. COVID-19 prognosis using limited chest X-ray images.
Mondal AK
Appl Soft Comput; 2022 Jun; 122():108867. PubMed ID: 35494338
[TBL] [Abstract][Full Text] [Related]
18. Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.
Rahman T; Khandakar A; Qiblawey Y; Tahir A; Kiranyaz S; Abul Kashem SB; Islam MT; Al Maadeed S; Zughaier SM; Khan MS; Chowdhury MEH
Comput Biol Med; 2021 May; 132():104319. PubMed ID: 33799220
[TBL] [Abstract][Full Text] [Related]
19. Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images.
Shaheed K; Abbas Q; Hussain A; Qureshi I
Diagnostics (Basel); 2023 Aug; 13(15):. PubMed ID: 37568946
[TBL] [Abstract][Full Text] [Related]
20. Automated image classification of chest X-rays of COVID-19 using deep transfer learning.
Dilshad S; Singh N; Atif M; Hanif A; Yaqub N; Farooq WA; Ahmad H; Chu YM; Masood MT
Results Phys; 2021 Sep; 28():104529. PubMed ID: 34395185
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]