160 related articles for article (PubMed ID: 34567278)
41. SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19.
Patro KK; Allam JP; Hammad M; Tadeusiewicz R; Pławiak P
Biocybern Biomed Eng; 2023; 43(1):352-368. PubMed ID: 36819118
[TBL] [Abstract][Full Text] [Related]
42. COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images.
Akter S; Shamrat FMJM; Chakraborty S; Karim A; Azam S
Biology (Basel); 2021 Nov; 10(11):. PubMed ID: 34827167
[TBL] [Abstract][Full Text] [Related]
43. CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays.
Dey S; Bhattacharya R; Malakar S; Schwenker F; Sarkar R
Expert Syst Appl; 2022 Nov; 206():117812. PubMed ID: 35754941
[TBL] [Abstract][Full Text] [Related]
44. CoviDetNet: A new COVID-19 diagnostic system based on deep features of chest x-ray.
Aslan M
Int J Imaging Syst Technol; 2022 Sep; 32(5):1447-1463. PubMed ID: 35935665
[TBL] [Abstract][Full Text] [Related]
45. Detection of COVID-19 Patients from CT Scan and Chest X-ray Data Using Modified
Ahsan MM; Nazim R; Siddique Z; Huebner P
Healthcare (Basel); 2021 Aug; 9(9):. PubMed ID: 34574873
[TBL] [Abstract][Full Text] [Related]
46. Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques.
Islam R; Tarique M
Int J Biomed Imaging; 2022; 2022():5318447. PubMed ID: 36588667
[TBL] [Abstract][Full Text] [Related]
47. COVID-19 classification of X-ray images using deep neural networks.
Keidar D; Yaron D; Goldstein E; Shachar Y; Blass A; Charbinsky L; Aharony I; Lifshitz L; Lumelsky D; Neeman Z; Mizrachi M; Hajouj M; Eizenbach N; Sela E; Weiss CS; Levin P; Benjaminov O; Bachar GN; Tamir S; Rapson Y; Suhami D; Atar E; Dror AA; Bogot NR; Grubstein A; Shabshin N; Elyada YM; Eldar YC
Eur Radiol; 2021 Dec; 31(12):9654-9663. PubMed ID: 34052882
[TBL] [Abstract][Full Text] [Related]
48. Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images.
Aslan N; Ozmen Koca G; Kobat MA; Dogan S
Chemometr Intell Lab Syst; 2022 May; 224():104539. PubMed ID: 35368832
[TBL] [Abstract][Full Text] [Related]
49. CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images.
Srivastava G; Chauhan A; Jangid M; Chaurasia S
Biomed Signal Process Control; 2022 Sep; 78():103848. PubMed ID: 35694696
[TBL] [Abstract][Full Text] [Related]
50. Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19.
Rangarajan K; Muku S; Garg AK; Gabra P; Shankar SH; Nischal N; Soni KD; Bhalla AS; Mohan A; Tiwari P; Bhatnagar S; Bansal R; Kumar A; Gamanagati S; Aggarwal R; Baitha U; Biswas A; Kumar A; Jorwal P; Shalimar ; Shariff A; Wig N; Subramanium R; Trikha A; Malhotra R; Guleria R; Namboodiri V; Banerjee S; Arora C
Eur Radiol; 2021 Aug; 31(8):6039-6048. PubMed ID: 33471219
[TBL] [Abstract][Full Text] [Related]
51. COVID-opt-aiNet: A clinical decision support system for COVID-19 detection.
Kanwal S; Khan F; Alamri S; Dashtipur K; Gogate M
Int J Imaging Syst Technol; 2022 Mar; 32(2):444-461. PubMed ID: 35465215
[TBL] [Abstract][Full Text] [Related]
52. Predicting pattern of coronavirus using X-ray and CT scan images.
Khurana Batra P; Aggarwal P; Wadhwa D; Gulati M
Netw Model Anal Health Inform Bioinform; 2022; 11(1):39. PubMed ID: 36212780
[TBL] [Abstract][Full Text] [Related]
53. Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient.
Kumar R; Arora R; Bansal V; Sahayasheela VJ; Buckchash H; Imran J; Narayanan N; Pandian GN; Raman B
Multimed Tools Appl; 2022; 81(19):27631-27655. PubMed ID: 35368858
[TBL] [Abstract][Full Text] [Related]
54. Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion.
Kong L; Cheng J
Biomed Signal Process Control; 2022 Aug; 77():103772. PubMed ID: 35573817
[TBL] [Abstract][Full Text] [Related]
55. COVID-19 chest X-ray detection through blending ensemble of CNN snapshots.
Banerjee A; Sarkar A; Roy S; Singh PK; Sarkar R
Biomed Signal Process Control; 2022 Sep; 78():104000. PubMed ID: 35855489
[TBL] [Abstract][Full Text] [Related]
56. A deep learning-based COVID-19 classification from chest X-ray image: case study.
Appasami G; Nickolas S
Eur Phys J Spec Top; 2022; 231(18-20):3767-3777. PubMed ID: 35996535
[TBL] [Abstract][Full Text] [Related]
57. Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays.
Maharjan J; Calvert J; Pellegrini E; Green-Saxena A; Hoffman J; McCoy A; Mao Q; Das R
Clin Imaging; 2021 Dec; 80():268-273. PubMed ID: 34425544
[TBL] [Abstract][Full Text] [Related]
58. CNN-RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images.
Kanjanasurat I; Tenghongsakul K; Purahong B; Lasakul A
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772394
[TBL] [Abstract][Full Text] [Related]
59. Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.
Maqsood S; Damaševičius R
Neural Netw; 2023 Mar; 160():238-258. PubMed ID: 36701878
[TBL] [Abstract][Full Text] [Related]
60. Fine-Tuning Convolutional Neural Networks for COVID-19 Detection from Chest X-ray Images.
Zhao W; Jiang W; Qiu X
Diagnostics (Basel); 2021 Oct; 11(10):. PubMed ID: 34679585
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
