127 related articles for article (PubMed ID: 34109279)
1. COVID-19 pulmonary consolidations detection in chest X-ray using progressive resizing and transfer learning techniques.
Bhatt A; Ganatra A; Kotecha K
Heliyon; 2021 Jun; 7(6):e07211. PubMed ID: 34109279
[TBL] [Abstract][Full Text] [Related]
2. Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing.
Bhatt AR; Ganatra A; Kotecha K
PeerJ Comput Sci; 2021; 7():e348. PubMed ID: 33816998
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Detecting pulmonary diseases using deep features in X-ray images.
Vieira P; Sousa O; Magalhães D; Rabêlo R; Silva R
Pattern Recognit; 2021 Nov; 119():108081. PubMed ID: 34149099
[TBL] [Abstract][Full Text] [Related]
5. COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader.
Polat Ç; Karaman O; Karaman C; Korkmaz G; Balcı MC; Kelek SE
J Xray Sci Technol; 2021; 29(1):19-36. PubMed ID: 33459685
[TBL] [Abstract][Full Text] [Related]
6. A Cascade-SEME network for COVID-19 detection in chest x-ray images.
Lv D; Wang Y; Wang S; Zhang Q; Qi W; Li Y; Sun L
Med Phys; 2021 May; 48(5):2337-2353. PubMed ID: 33778966
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
Albahli S; Ahmad Hassan Yar GN
J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
[TBL] [Abstract][Full Text] [Related]
10. CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.
Malik H; Anees T; Din M; Naeem A
Multimed Tools Appl; 2023; 82(9):13855-13880. PubMed ID: 36157356
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A Deep Learning Model for Diagnosing COVID-19 and Pneumonia through X-ray.
Liu X; Wu W; Chun-Wei Lin J; Liu S
Curr Med Imaging; 2023; 19(4):333-346. PubMed ID: 35692156
[TBL] [Abstract][Full Text] [Related]
13. Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images.
Akbarimajd A; Hoertel N; Hussain MA; Neshat AA; Marhamati M; Bakhtoor M; Momeny M
J Comput Sci; 2022 Sep; 63():101763. PubMed ID: 35818367
[TBL] [Abstract][Full Text] [Related]
14. Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images.
Behzadi-Khormouji H; Rostami H; Salehi S; Derakhshande-Rishehri T; Masoumi M; Salemi S; Keshavarz A; Gholamrezanezhad A; Assadi M; Batouli A
Comput Methods Programs Biomed; 2020 Mar; 185():105162. PubMed ID: 31715332
[TBL] [Abstract][Full Text] [Related]
15. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates.
Bhosale YH; Patnaik KS
Biomed Signal Process Control; 2023 Mar; 81():104445. PubMed ID: 36466567
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network.
Khan SH; Sohail A; Zafar MM; Khan A
Photodiagnosis Photodyn Ther; 2021 Sep; 35():102473. PubMed ID: 34348186
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset.
Fayemiwo MA; Olowookere TA; Arekete SA; Ogunde AO; Odim MO; Oguntunde BO; Olaniyan OO; Ojewumi TO; Oyetade IS; Aremu AA; Kayode AA
PeerJ Comput Sci; 2021; 7():e614. PubMed ID: 34435093
[TBL] [Abstract][Full Text] [Related]
20. Detection of COVID-19 Based on Chest X-rays Using Deep Learning.
Gouda W; Almurafeh M; Humayun M; Jhanjhi NZ
Healthcare (Basel); 2022 Feb; 10(2):. PubMed ID: 35206957
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]