163 related articles for article (PubMed ID: 33392388)
1. FCOD: Fast COVID-19 Detector based on deep learning techniques.
Panahi AH; Rafiei A; Rezaee A
Inform Med Unlocked; 2021; 22():100506. PubMed ID: 33392388
[TBL] [Abstract][Full Text] [Related]
2. [Research on coronavirus disease 2019 (COVID-19) detection method based on depthwise separable DenseNet in chest X-ray images].
Feng Y; Qiu D; Cao H; Zhang J; Xin Z; Liu J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Aug; 37(4):557-565. PubMed ID: 32840070
[TBL] [Abstract][Full Text] [Related]
3. UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients.
Widodo CS; Naba A; Mahasin MM; Yueniwati Y; Putranto TA; Patra PI
J Xray Sci Technol; 2022; 30(1):57-71. PubMed ID: 34864714
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization.
Mahmud T; Rahman MA; Fattah SA
Comput Biol Med; 2020 Jul; 122():103869. PubMed ID: 32658740
[TBL] [Abstract][Full Text] [Related]
7. IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification.
Le DN; Parvathy VS; Gupta D; Khanna A; Rodrigues JJPC; Shankar K
Int J Mach Learn Cybern; 2021; 12(11):3235-3248. PubMed ID: 33727984
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images.
Reis HC; Turk V
Artif Intell Med; 2022 Dec; 134():102427. PubMed ID: 36462906
[TBL] [Abstract][Full Text] [Related]
10. NSCGCN: A novel deep GCN model to diagnosis COVID-19.
Tang C; Hu C; Sun J; Wang SH; Zhang YD
Comput Biol Med; 2022 Nov; 150():106151. PubMed ID: 36244303
[TBL] [Abstract][Full Text] [Related]
11. COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images.
Ayadi M; Ksibi A; Al-Rasheed A; Soufiene BO
Healthcare (Basel); 2022 Oct; 10(10):. PubMed ID: 36292519
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization.
Nour M; Cömert Z; Polat K
Appl Soft Comput; 2020 Dec; 97():106580. PubMed ID: 32837453
[TBL] [Abstract][Full Text] [Related]
15. Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic.
Asghar MZ; Albogamy FR; Al-Rakhami MS; Asghar J; Rahmat MK; Alam MM; Lajis A; Nasir HM
Front Public Health; 2022; 10():855254. PubMed ID: 35321193
[TBL] [Abstract][Full Text] [Related]
16. "Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images".
Al-Antari MA; Hua CH; Bang J; Lee S
Appl Intell (Dordr); 2021; 51(5):2890-2907. PubMed ID: 34764573
[TBL] [Abstract][Full Text] [Related]
17. A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans.
Li Q; Ning J; Yuan J; Xiao L
Comput Biol Med; 2021 Oct; 137():104837. PubMed ID: 34530335
[TBL] [Abstract][Full Text] [Related]
18. Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network.
Celik G
Appl Soft Comput; 2023 Jan; 133():109906. PubMed ID: 36504726
[TBL] [Abstract][Full Text] [Related]
19. CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images.
Hussain E; Hasan M; Rahman MA; Lee I; Tamanna T; Parvez MZ
Chaos Solitons Fractals; 2021 Jan; 142():110495. PubMed ID: 33250589
[TBL] [Abstract][Full Text] [Related]
20. DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images.
Demir F
Appl Soft Comput; 2021 May; 103():107160. PubMed ID: 33584157
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
