136 related articles for article (PubMed ID: 38347732)
1. 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]
2. CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images.
Lee YW; Huang SK; Chang RF
Artif Intell Med; 2022 Oct; 132():102382. PubMed ID: 36207088
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images.
Guan Q; Huang Y; Luo Y; Liu P; Xu M; Yang Y
IEEE Trans Image Process; 2021; 30():2476-2487. PubMed ID: 33497335
[TBL] [Abstract][Full Text] [Related]
5. ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays.
Mao C; Yao L; Luo Y
IEEE Trans Med Imaging; 2022 Aug; 41(8):1990-2003. PubMed ID: 35192461
[TBL] [Abstract][Full Text] [Related]
6. Label correlation guided discriminative label feature learning for multi-label chest image classification.
Zhang K; Liang W; Cao P; Liu X; Yang J; Zaiane O
Comput Methods Programs Biomed; 2024 Mar; 245():108032. PubMed ID: 38244339
[TBL] [Abstract][Full Text] [Related]
7. Label correlation transformer for automated chest X-ray diagnosis with reliable interpretability.
Sun Z; Qu L; Luo J; Song Z; Wang M
Radiol Med; 2023 Jun; 128(6):726-733. PubMed ID: 37233906
[TBL] [Abstract][Full Text] [Related]
8. A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.
Tang Y; Tang Y; Zhu Y; Xiao J; Summers RM
Med Image Anal; 2021 Jan; 67():101839. PubMed ID: 33080508
[TBL] [Abstract][Full Text] [Related]
9. Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks.
Tsuji T; Hirata Y; Kusunose K; Sata M; Kumagai S; Shiraishi K; Kotoku J
BMC Med Imaging; 2023 May; 23(1):62. PubMed ID: 37161392
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification.
Li L; Cao P; Yang J; Zaiane OR
Med Biol Eng Comput; 2022 Sep; 60(9):2567-2588. PubMed ID: 35781585
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Part-Aware Mask-Guided Attention for Thorax Disease Classification.
Zhang R; Yang F; Luo Y; Liu J; Li J; Wang C
Entropy (Basel); 2021 May; 23(6):. PubMed ID: 34070982
[TBL] [Abstract][Full Text] [Related]
15. LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.
Ukwuoma CC; Qin Z; Agbesi VK; Ejiyi CJ; Bamisile O; Chikwendu IA; Tienin BW; Hossin MA
Comput Biol Med; 2022 Nov; 150():106195. PubMed ID: 37859288
[TBL] [Abstract][Full Text] [Related]
16. [Non-local attention and multi-task learning based lung segmentation in chest X-ray].
Xiong L; Qin X; Liu X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Oct; 40(5):912-919. PubMed ID: 37879920
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
Wang H; Jia H; Lu L; Xia Y
IEEE J Biomed Health Inform; 2020 Feb; 24(2):475-485. PubMed ID: 31329567
[TBL] [Abstract][Full Text] [Related]
19. COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network.
Fan Y; Liu J; Yao R; Yuan X
Pattern Recognit; 2021 Nov; 119():108055. PubMed ID: 34103766
[TBL] [Abstract][Full Text] [Related]
20. Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images.
Tian Y; Wang J; Yang W; Wang J; Qian D
Med Phys; 2022 Jan; 49(1):231-243. PubMed ID: 34802144
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]