These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
117 related articles for article (PubMed ID: 38480869)
1. Enhancing pediatric pneumonia diagnosis through masked autoencoders. Yoon T; Kang D Sci Rep; 2024 Mar; 14(1):6150. PubMed ID: 38480869 [TBL] [Abstract][Full Text] [Related]
2. A Novel Approach to the Technique of Lung Region Segmentation Based on a Deep Learning Model to Diagnose COVID-19 X-ray Images. Ding X; Zhou Q; Liu Z; Hammad Kowah JA; Wang L; Huang X; Liu X Curr Med Imaging; 2024; 20():1-11. PubMed ID: 38389381 [TBL] [Abstract][Full Text] [Related]
3. Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder. Xing X; Liang G; Wang C; Jacobs N; Lin AL Bioengineering (Basel); 2023 Jul; 10(8):. PubMed ID: 37627786 [TBL] [Abstract][Full Text] [Related]
4. Study on transfer learning capabilities for pneumonia classification in chest-x-rays images. Avola D; Bacciu A; Cinque L; Fagioli A; Marini MR; Taiello R Comput Methods Programs Biomed; 2022 Jun; 221():106833. PubMed ID: 35537296 [TBL] [Abstract][Full Text] [Related]
5. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images. Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211 [TBL] [Abstract][Full Text] [Related]
6. Classifying Pneumonia among Chest X-Rays Using Transfer Learning. Irfan A; Adivishnu AL; Sze-To A; Dehkharghanian T; Rahnamayan S; Tizhoosh HR Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():2186-2189. PubMed ID: 33018440 [TBL] [Abstract][Full Text] [Related]
7. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images. Salehi M; Mohammadi R; Ghaffari H; Sadighi N; Reiazi R Br J Radiol; 2021 May; 94(1121):20201263. PubMed ID: 33861150 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images. Zhang R; Guo Z; Sun Y; Lu Q; Xu Z; Yao Z; Duan M; Liu S; Ren Y; Huang L; Zhou F Interdiscip Sci; 2020 Dec; 12(4):555-565. PubMed ID: 32959234 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography. Wang F; Li X; Wen R; Luo H; Liu D; Qi S; Jing Y; Wang P; Deng G; Huang C; Du T; Wang L; Liang H; Wang J; Liu C Eur Radiol; 2023 Dec; 33(12):8869-8878. PubMed ID: 37389609 [TBL] [Abstract][Full Text] [Related]
12. A deep learning feature extraction-based hybrid approach for detecting pediatric pneumonia in chest X-ray images. Bal U; Bal A; Moral ÖT; Düzgün F; Gürbüz N Phys Eng Sci Med; 2024 Mar; 47(1):109-117. PubMed ID: 37991696 [TBL] [Abstract][Full Text] [Related]
13. Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis. Domínguez-Rodríguez S; Liz-López H; Panizo-LLedot A; Ballesteros Á; Dagan R; Greenberg D; Gutiérrez L; Rojo P; Otheo E; Galán JC; Villanueva S; García S; Mosquera P; Tagarro A; Moraleda C; Camacho D Comput Methods Programs Biomed; 2023 Dec; 242():107765. PubMed ID: 37704545 [TBL] [Abstract][Full Text] [Related]
14. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Ahamed KU; Islam M; Uddin A; Akhter A; Paul BK; Yousuf MA; Uddin S; Quinn JMW; Moni MA Comput Biol Med; 2021 Dec; 139():105014. PubMed ID: 34781234 [TBL] [Abstract][Full Text] [Related]
15. Using deep-learning techniques for pulmonary-thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs. E L; Zhao B; Guo Y; Zheng C; Zhang M; Lin J; Luo Y; Cai Y; Song X; Liang H Pediatr Pulmonol; 2019 Oct; 54(10):1617-1626. PubMed ID: 31270968 [TBL] [Abstract][Full Text] [Related]
16. Image-based deep learning in diagnosing the etiology of pneumonia on pediatric chest X-rays. E L; Zhao B; Liu H; Zheng C; Song X; Cai Y; Liang H Pediatr Pulmonol; 2021 May; 56(5):1036-1044. PubMed ID: 33331678 [TBL] [Abstract][Full Text] [Related]
17. PulmoNet: a novel deep learning based pulmonary diseases detection model. Abdulahi AT; Ogundokun RO; Adenike AR; Shah MA; Ahmed YK BMC Med Imaging; 2024 Feb; 24(1):51. PubMed ID: 38418987 [TBL] [Abstract][Full Text] [Related]
18. Pneumonia detection in chest X-ray images using an ensemble of deep learning models. Kundu R; Das R; Geem ZW; Han GT; Sarkar R PLoS One; 2021; 16(9):e0256630. PubMed ID: 34492046 [TBL] [Abstract][Full Text] [Related]
19. Accurately Discriminating COVID-19 from Viral and Bacterial Pneumonia According to CT Images Via Deep Learning. Zheng F; Li L; Zhang X; Song Y; Huang Z; Chong Y; Chen Z; Zhu H; Wu J; Chen W; Lu Y; Yang Y; Zha Y; Zhao H; Shen J Interdiscip Sci; 2021 Jun; 13(2):273-285. PubMed ID: 33641077 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]