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.
113 related articles for article (PubMed ID: 38000248)
1. DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays. Xu Q; Duan W Comput Biol Med; 2024 Jan; 168():107742. PubMed ID: 38000248 [TBL] [Abstract][Full Text] [Related]
2. Centralized contrastive loss with weakly supervised progressive feature extraction for fine-grained common thorax disease retrieval in chest x-ray. Chen F; You L; Zhao W; Zhou X Med Phys; 2023 Jun; 50(6):3560-3572. PubMed ID: 36515554 [TBL] [Abstract][Full Text] [Related]
3. Lesion Location Attention Guided Network for Multi-Label Thoracic Disease Classification in Chest X-Rays. Chen B; Li J; Lu G; Zhang D IEEE J Biomed Health Inform; 2020 Jul; 24(7):2016-2027. PubMed ID: 31715576 [TBL] [Abstract][Full Text] [Related]
4. Lesion detection of chest X-Ray based on scalable attention residual CNN. Lin C; Huang Y; Wang W; Feng S; Feng S Math Biosci Eng; 2023 Jan; 20(2):1730-1749. PubMed ID: 36899506 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Multi-scale Lesion Feature Fusion and Location-Aware for Chest Multi-disease Detection. Yuan Y; Liu L; Yang X; Liu L; Huang Q J Imaging Inform Med; 2024 Dec; 37(6):2752-2767. PubMed ID: 38760643 [TBL] [Abstract][Full Text] [Related]
7. SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset. Roy S; Tyagi M; Bansal V; Jain V Comput Biol Med; 2022 Nov; 150():106092. PubMed ID: 36208598 [TBL] [Abstract][Full Text] [Related]
8. Densely attention mechanism based network for COVID-19 detection in chest X-rays. Ullah Z; Usman M; Latif S; Gwak J Sci Rep; 2023 Jan; 13(1):261. PubMed ID: 36609667 [TBL] [Abstract][Full Text] [Related]
9. Automatic creation of annotations for chest radiographs based on the positional information extracted from radiographic image reports. Wang B; Takeda T; Sugimoto K; Zhang J; Wada S; Konishi S; Manabe S; Okada K; Matsumura Y Comput Methods Programs Biomed; 2021 Sep; 209():106331. PubMed ID: 34418813 [TBL] [Abstract][Full Text] [Related]
11. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network. Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641 [TBL] [Abstract][Full Text] [Related]
12. Automated thorax disease diagnosis using multi-branch residual attention network. Li D; Huo H; Jiao S; Sun X; Chen S Sci Rep; 2024 May; 14(1):11865. PubMed ID: 38789592 [TBL] [Abstract][Full Text] [Related]
13. Weighing features of lung and heart regions for thoracic disease classification. Fang J; Xu Y; Zhao Y; Yan Y; Liu J; Liu J BMC Med Imaging; 2021 Jun; 21(1):99. PubMed ID: 34112095 [TBL] [Abstract][Full Text] [Related]
14. Chest x-ray diagnosis via spatial-channel high-order attention representation learning. Gao X; Jiang B; Wang X; Huang L; Tu Z Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38347732 [No Abstract] [Full Text] [Related]
15. CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification. Hasanah U; Avian C; Darmawan JT; Bachroin N; Faisal M; Prakosa SW; Leu JS; Tsai CT Int J Cardiovasc Imaging; 2024 Apr; 40(4):709-722. PubMed ID: 38150139 [TBL] [Abstract][Full Text] [Related]
16. MRChexNet: Multi-modal bridge and relational learning for thoracic disease recognition in chest X-rays. Wang G; Wang P; Cong J; Wei B Math Biosci Eng; 2023 Nov; 20(12):21292-21314. PubMed ID: 38124598 [TBL] [Abstract][Full Text] [Related]
17. Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Pesce E; Joseph Withey S; Ypsilantis PP; Bakewell R; Goh V; Montana G Med Image Anal; 2019 Apr; 53():26-38. PubMed ID: 30660946 [TBL] [Abstract][Full Text] [Related]
18. AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems. Kim K; Lee JH; Je Oh S; Chung MJ Comput Methods Programs Biomed; 2023 Oct; 240():107643. PubMed ID: 37348439 [TBL] [Abstract][Full Text] [Related]
19. Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. Han Y; Chen C; Tang L; Lin M; Jaiswal A; Wang S; Tewfik A; Shih G; Ding Y; Peng Y AMIA Annu Symp Proc; 2021; 2021():546-555. PubMed ID: 35308939 [TBL] [Abstract][Full Text] [Related]
20. Attention-Guided Partial Domain Adaptation for Automated Pneumonia Diagnosis From Chest X-Ray Images. Liu W; Ni Z; Chen Q; Ni L IEEE J Biomed Health Inform; 2023 Dec; 27(12):5848-5859. PubMed ID: 37695960 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]