218 related articles for article (PubMed ID: 36532848)
81. E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network.
Murugan R; Goel T
J Ambient Intell Humaniz Comput; 2021; 12(9):8887-8898. PubMed ID: 33425051
[TBL] [Abstract][Full Text] [Related]
82. Deep-learning based detection of COVID-19 using lung ultrasound imagery.
Diaz-Escobar J; Ordóñez-Guillén NE; Villarreal-Reyes S; Galaviz-Mosqueda A; Kober V; Rivera-Rodriguez R; Lozano Rizk JE
PLoS One; 2021; 16(8):e0255886. PubMed ID: 34388187
[TBL] [Abstract][Full Text] [Related]
83. COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.
Peng Y; Tang Y; Lee S; Zhu Y; Summers RM; Lu Z
IEEE Trans Big Data; 2021 Mar; 7(1):3-12. PubMed ID: 33997112
[TBL] [Abstract][Full Text] [Related]
84. Role of deep learning in early detection of COVID-19: Scoping review.
Alzubaidi M; Zubaydi HD; Bin-Salem AA; Abd-Alrazaq AA; Ahmed A; Househ M
Comput Methods Programs Biomed Update; 2021; 1():100025. PubMed ID: 34345877
[TBL] [Abstract][Full Text] [Related]
85. COVIDX-LwNet: A Lightweight Network Ensemble Model for the Detection of COVID-19 Based on Chest X-ray Images.
Wang W; Liu S; Xu H; Deng L
Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366277
[TBL] [Abstract][Full Text] [Related]
86. Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening.
Cao XF; Li Y; Xin HN; Zhang HR; Pai M; Gao L
Chronic Dis Transl Med; 2021 Mar; 7(1):35-40. PubMed ID: 34013178
[TBL] [Abstract][Full Text] [Related]
87. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
Visuña L; Yang D; Garcia-Blas J; Carretero J
BMC Med Imaging; 2022 Oct; 22(1):178. PubMed ID: 36243705
[TBL] [Abstract][Full Text] [Related]
88. 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]
89. 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]
90. A two-tier feature selection method using Coalition game and Nystrom sampling for screening COVID-19 from chest X-Ray images.
Bhowal P; Sen S; Sarkar R
J Ambient Intell Humaniz Comput; 2023; 14(4):3659-3674. PubMed ID: 34567278
[TBL] [Abstract][Full Text] [Related]
91. Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series.
Glaser N; Bosman S; Madonsela T; van Heerden A; Mashaete K; Katende B; Ayakaka I; Murphy K; Signorell A; Lynen L; Bremerich J; Reither K
J Med Case Rep; 2023 Aug; 17(1):365. PubMed ID: 37620921
[TBL] [Abstract][Full Text] [Related]
92. Computational Intelligence-Based Method for Automated Identification of COVID-19 and Pneumonia by Utilizing CXR Scans.
Kaushik B; Koundal D; Goel N; Zaguia A; Belay A; Turabieh H
Comput Intell Neurosci; 2022; 2022():7124199. PubMed ID: 35800691
[TBL] [Abstract][Full Text] [Related]
93. A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays.
Karnati M; Seal A; Sahu G; Yazidi A; Krejcar O
Appl Soft Comput; 2022 Aug; 125():109109. PubMed ID: 35693544
[TBL] [Abstract][Full Text] [Related]
94. A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study.
Liu CJ; Tsai CC; Kuo LC; Kuo PC; Lee MR; Wang JY; Ko JC; Shih JY; Wang HC; Yu CJ
Insights Imaging; 2023 Apr; 14(1):67. PubMed ID: 37060419
[TBL] [Abstract][Full Text] [Related]
95. Comparing a deep learning model's diagnostic performance to that of radiologists to detect Covid -19 features on chest radiographs.
Krishnamoorthy S; Ramakrishnan S; Colaco LB; Dias A; Gopi IK; Gowda GAG; Aishwarya KC; Ramanan V; Chandran M
Indian J Radiol Imaging; 2021 Jan; 31(Suppl 1):S53-S60. PubMed ID: 33814762
[TBL] [Abstract][Full Text] [Related]
96. Early diagnosis and meta-agnostic model visualization of tuberculosis based on radiography images.
Natarajan S; Sampath P; Arunachalam R; Shanmuganathan V; Dhiman G; Chakrabarti P; Chakrabarti T; Margala M
Sci Rep; 2023 Dec; 13(1):22803. PubMed ID: 38129436
[TBL] [Abstract][Full Text] [Related]
97. 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]
98. Simultaneous Super-Resolution and Classification of Lung Disease Scans.
Emara HM; Shoaib MR; El-Shafai W; Elwekeil M; Hemdan EE; Fouda MM; Taha TE; El-Fishawy AS; El-Rabaie EM; El-Samie FEA
Diagnostics (Basel); 2023 Apr; 13(7):. PubMed ID: 37046537
[TBL] [Abstract][Full Text] [Related]
99. LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery.
Lasker A; Ghosh M; Obaidullah SM; Chakraborty C; Roy K
Multimed Tools Appl; 2023; 82(14):21801-21823. PubMed ID: 36532598
[TBL] [Abstract][Full Text] [Related]
100. Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays.
Montalbo FJP
MethodsX; 2021; 8():101408. PubMed ID: 34109106
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]