218 related articles for article (PubMed ID: 36532848)
61. Yield of chest X-ray tuberculosis screening of immigrants during the European refugee crisis of 2015: a single-centre experience.
Weinrich JM; Diel R; Sauer M; Henes FO; Meywald-Walter K; Adam G; Schön G; Bannas P
Eur Radiol; 2017 Aug; 27(8):3244-3248. PubMed ID: 28050691
[TBL] [Abstract][Full Text] [Related]
62. Evaluation of an artificial intelligence (AI) system to detect tuberculosis on chest X-ray at a pilot active screening project in Guangdong, China in 2019.
Liao Q; Feng H; Li Y; Lai X; Pan J; Zhou F; Zhou L; Chen L
J Xray Sci Technol; 2022; 30(2):221-230. PubMed ID: 34924433
[TBL] [Abstract][Full Text] [Related]
63. 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]
64. DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network.
Quan H; Xu X; Zheng T; Li Z; Zhao M; Cui X
Comput Biol Med; 2021 Jun; 133():104399. PubMed ID: 33892307
[TBL] [Abstract][Full Text] [Related]
65. Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis.
Jia LL; Zhao JX; Pan NN; Shi LY; Zhao LP; Tian JH; Huang G
Eur J Radiol Open; 2022; 9():100438. PubMed ID: 35996746
[TBL] [Abstract][Full Text] [Related]
66. Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images.
Tahir AM; Qiblawey Y; Khandakar A; Rahman T; Khurshid U; Musharavati F; Islam MT; Kiranyaz S; Al-Maadeed S; Chowdhury MEH
Cognit Comput; 2022; 14(5):1752-1772. PubMed ID: 35035591
[TBL] [Abstract][Full Text] [Related]
67. Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.
Nijiati M; Zhang Z; Abulizi A; Miao H; Tuluhong A; Quan S; Guo L; Xu T; Zou X
J Xray Sci Technol; 2021; 29(5):785-796. PubMed ID: 34219703
[TBL] [Abstract][Full Text] [Related]
68. Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs.
Kikkisetti S; Zhu J; Shen B; Li H; Duong TQ
PeerJ; 2020; 8():e10309. PubMed ID: 33194447
[TBL] [Abstract][Full Text] [Related]
69. A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques.
Subramaniam K; Palanisamy N; Sinnaswamy RA; Muthusamy S; Mishra OP; Loganathan AK; Ramamoorthi P; Gnanakkan CARC; Thangavel G; Sundararajan SCM
Soft comput; 2023 May; ():1-22. PubMed ID: 37362273
[TBL] [Abstract][Full Text] [Related]
70. 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]
71. Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review.
Santosh KC; Allu S; Rajaraman S; Antani S
J Med Syst; 2022 Oct; 46(11):82. PubMed ID: 36241922
[TBL] [Abstract][Full Text] [Related]
72. Computer Aided COVID-19 Diagnosis in Pandemic Era Using CNN in Chest X-ray Images.
Alqahtani A; Zahoor MM; Nasrullah R; Fareed A; Cheema AA; Shahrose A; Irfan M; Alqhatani A; Alsulami AA; Zaffar M; Rahman S
Life (Basel); 2022 Oct; 12(11):. PubMed ID: 36362864
[TBL] [Abstract][Full Text] [Related]
73. DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.
Malik H; Naeem A; Naqvi RA; Loh WK
Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679541
[TBL] [Abstract][Full Text] [Related]
74. 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]
75. Deep learning applied to automatic disease detection using chest X-rays.
Moses DA
J Med Imaging Radiat Oncol; 2021 Aug; 65(5):498-517. PubMed ID: 34231311
[TBL] [Abstract][Full Text] [Related]
76. Diagnostic performance of artificial intelligence model for pneumonia from chest radiography.
Kwon T; Lee SP; Kim D; Jang J; Lee M; Kang SU; Kim H; Oh K; On J; Kim YJ; Yun SJ; Jin KN; Kim EY; Kim KG
PLoS One; 2021; 16(4):e0249399. PubMed ID: 33857181
[TBL] [Abstract][Full Text] [Related]
77. Screening tests for active pulmonary tuberculosis in children.
Vonasek B; Ness T; Takwoingi Y; Kay AW; van Wyk SS; Ouellette L; Marais BJ; Steingart KR; Mandalakas AM
Cochrane Database Syst Rev; 2021 Jun; 6(6):CD013693. PubMed ID: 34180536
[TBL] [Abstract][Full Text] [Related]
78. Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images.
Anai S; Hisasue J; Takaki Y; Hara N
Can Respir J; 2022; 2022():8026580. PubMed ID: 36465274
[TBL] [Abstract][Full Text] [Related]
79. Classification of Lung Disease in Children by Using Lung Ultrasound Images and Deep Convolutional Neural Network.
Magrelli S; Valentini P; De Rose C; Morello R; Buonsenso D
Front Physiol; 2021; 12():693448. PubMed ID: 34512375
[TBL] [Abstract][Full Text] [Related]
80. Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment.
Fusco R; Grassi R; Granata V; Setola SV; Grassi F; Cozzi D; Pecori B; Izzo F; Petrillo A
J Pers Med; 2021 Sep; 11(10):. PubMed ID: 34683133
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
