198 related articles for article (PubMed ID: 36678365)
1. A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images.
Al-Shourbaji I; Kachare PH; Abualigah L; Abdelhag ME; Elnaim B; Anter AM; Gandomi AH
Pathogens; 2022 Dec; 12(1):. PubMed ID: 36678365
[TBL] [Abstract][Full Text] [Related]
2. Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.
Wang W; Jiang Y; Wang X; Zhang P; Li J
BMC Med Imaging; 2022 Jul; 22(1):135. PubMed ID: 35907793
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. SVM-RLF-DNN: A DNN with reliefF and SVM for automatic identification of COVID from chest X-ray and CT images.
Saha S; Nandi D
Digit Health; 2024; 10():20552076241257045. PubMed ID: 38812845
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A new composite approach for COVID-19 detection in X-ray images using deep features.
Ozcan T
Appl Soft Comput; 2021 Nov; 111():107669. PubMed ID: 34248447
[TBL] [Abstract][Full Text] [Related]
7. Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion.
Montalbo FJP
Biomed Signal Process Control; 2021 Jul; 68():102583. PubMed ID: 33828610
[TBL] [Abstract][Full Text] [Related]
8. A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis.
Zhang YD; Satapathy SC; Liu S; Li GR
Mach Vis Appl; 2021; 32(1):14. PubMed ID: 33169050
[TBL] [Abstract][Full Text] [Related]
9. Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images.
Ukwuoma CC; Qin Z; Agbesi VK; Cobbinah BM; Yussif SB; Abubakar HS; Lemessa BD
Comput Biol Med; 2022 Dec; 151(Pt A):106324. PubMed ID: 36423531
[TBL] [Abstract][Full Text] [Related]
10. Determining Top Fully Connected Layer's Hidden Neuron Count for Transfer Learning, Using Knowledge Distillation: a Case Study on Chest X-Ray Classification of Pneumonia and COVID-19.
Ghosh R
J Digit Imaging; 2021 Dec; 34(6):1349-1358. PubMed ID: 34590199
[TBL] [Abstract][Full Text] [Related]
11. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images.
Sulaiman A; Anand V; Gupta S; Asiri Y; Elmagzoub MA; Reshan MSA; Shaikh A
Diagnostics (Basel); 2023 May; 13(9):. PubMed ID: 37175042
[TBL] [Abstract][Full Text] [Related]
14. A Deep Learning-Based Approach for Cervical Cancer Classification Using 3D CNN and Vision Transformer.
K A; B S
J Imaging Inform Med; 2024 Feb; 37(1):280-296. PubMed ID: 38343216
[TBL] [Abstract][Full Text] [Related]
15. Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks.
Dev K; Khowaja SA; Bist AS; Saini V; Bhatia S
Neural Comput Appl; 2021 Feb; ():1-16. PubMed ID: 33649695
[TBL] [Abstract][Full Text] [Related]
16. COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network.
Shibu George G; Raj Mishra P; Sinha P; Ranjan Prusty M
Biocybern Biomed Eng; 2023; 43(1):1-16. PubMed ID: 36447948
[TBL] [Abstract][Full Text] [Related]
17. Development and integration of VGG and dense transfer-learning systems supported with diverse lung images for discovery of the Coronavirus identity.
Abdulsalam Hamwi W; Almustafa MM
Inform Med Unlocked; 2022; 32():101004. PubMed ID: 35822170
[TBL] [Abstract][Full Text] [Related]
18. Effect of dual-convolutional neural network model fusion for Aluminum profile surface defects classification and recognition.
Liu X; He W; Zhang Y; Yao S; Cui Z
Math Biosci Eng; 2022 Jan; 19(1):997-1025. PubMed ID: 34903023
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]