112 related articles for article (PubMed ID: 34131433)
1. Automated detection of Covid-19 disease using deep fused features from chest radiography images.
Uçar E; Atila Ü; Uçar M; Akyol K
Biomed Signal Process Control; 2021 Aug; 69():102862. PubMed ID: 34131433
[TBL] [Abstract][Full Text] [Related]
2. Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images.
Akyol K; Şen B
Interdiscip Sci; 2022 Mar; 14(1):89-100. PubMed ID: 34313974
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis.
Das A
Multimed Tools Appl; 2022; 81(4):5407-5441. PubMed ID: 34955679
[TBL] [Abstract][Full Text] [Related]
5. Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection.
Dey S; Bhattacharya R; Malakar S; Mirjalili S; Sarkar R
Comput Biol Med; 2021 Aug; 135():104585. PubMed ID: 34229144
[TBL] [Abstract][Full Text] [Related]
6. EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers.
Saha P; Sadi MS; Islam MM
Inform Med Unlocked; 2021; 22():100505. PubMed ID: 33363252
[TBL] [Abstract][Full Text] [Related]
7. A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images.
Ravi V; Acharya V; Alazab M
Cluster Comput; 2023; 26(2):1181-1203. PubMed ID: 35874187
[TBL] [Abstract][Full Text] [Related]
8. A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
Hu Z; Yang Z; Lafata KJ; Yin FF; Wang C
Med Phys; 2022 May; 49(5):3213-3222. PubMed ID: 35263458
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. COVID-19 detection based on pre-trained deep networks and LSTM model using X-ray images enhanced contrast with artificial bee colony algorithm.
Er MB
Expert Syst; 2022 Nov; ():e13185. PubMed ID: 36718212
[TBL] [Abstract][Full Text] [Related]
11. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.
Ibrahim DM; Elshennawy NM; Sarhan AM
Comput Biol Med; 2021 May; 132():104348. PubMed ID: 33774272
[TBL] [Abstract][Full Text] [Related]
12. Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images.
Ravi V; Narasimhan H; Chakraborty C; Pham TD
Multimed Syst; 2022; 28(4):1401-1415. PubMed ID: 34248292
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. AutoCovNet: Unsupervised feature learning using autoencoder and feature merging for detection of COVID-19 from chest X-ray images.
Rashid N; Hossain MAF; Ali M; Islam Sukanya M; Mahmud T; Fattah SA
Biocybern Biomed Eng; 2021; 41(4):1685-1701. PubMed ID: 34690398
[TBL] [Abstract][Full Text] [Related]
16. Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports.
Bassiouni MM; Hegazy I; Rizk N; El-Dahshan EA; Salem AM
Circuits Syst Signal Process; 2022; 41(10):5535-5577. PubMed ID: 35615749
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging.
Yoo SH; Geng H; Chiu TL; Yu SK; Cho DC; Heo J; Choi MS; Choi IH; Cung Van C; Nhung NV; Min BJ; Lee H
Front Med (Lausanne); 2020; 7():427. PubMed ID: 32760732
[TBL] [Abstract][Full Text] [Related]
19. COVID-19: Automatic detection from X-ray images by utilizing deep learning methods.
Nigam B; Nigam A; Jain R; Dodia S; Arora N; Annappa B
Expert Syst Appl; 2021 Aug; 176():114883. PubMed ID: 33746370
[TBL] [Abstract][Full Text] [Related]
20. COV-RadNet: A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans.
Islam MK; Habiba SU; Khan TA; Tasnim F
Comput Methods Programs Biomed Update; 2022; 2():100064. PubMed ID: 36039092
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
