185 related articles for article (PubMed ID: 34734373)
1. Segmentation of Coronary Arteries Images Using Spatio-temporal Feature Fusion Network with Combo Loss.
Zhu H; Song S; Xu L; Song A; Yang B
Cardiovasc Eng Technol; 2022 Jun; 13(3):407-418. PubMed ID: 34734373
[TBL] [Abstract][Full Text] [Related]
2. A U-Shaped Network Based on Multi-level Feature and Dual-Attention Coordination Mechanism for Coronary Artery Segmentation of CCTA Images.
Hong P; Du Y; Chen D; Peng C; Yang B; Xu L
Cardiovasc Eng Technol; 2023 Jun; 14(3):380-392. PubMed ID: 36849622
[TBL] [Abstract][Full Text] [Related]
3. Combo loss: Handling input and output imbalance in multi-organ segmentation.
Taghanaki SA; Zheng Y; Kevin Zhou S; Georgescu B; Sharma P; Xu D; Comaniciu D; Hamarneh G
Comput Med Imaging Graph; 2019 Jul; 75():24-33. PubMed ID: 31129477
[TBL] [Abstract][Full Text] [Related]
4. Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images.
Pan LS; Li CW; Su SF; Tay SY; Tran QV; Chan WP
Sci Rep; 2021 Jul; 11(1):14493. PubMed ID: 34262118
[TBL] [Abstract][Full Text] [Related]
5. Segmentation of coronary arteries images using global feature embedded network with active contour loss.
Gu J; Fang Z; Gao Y; Tian F
Comput Med Imaging Graph; 2020 Dec; 86():101799. PubMed ID: 33130419
[TBL] [Abstract][Full Text] [Related]
6. Segmentation and volume quantification of epicardial adipose tissue in computed tomography images.
Li Y; Song S; Sun Y; Bao N; Yang B; Xu L
Med Phys; 2022 Oct; 49(10):6477-6490. PubMed ID: 36047382
[TBL] [Abstract][Full Text] [Related]
7. AVDNet: Joint coronary artery and vein segmentation with topological consistency.
Wang W; Xia Q; Yan Z; Hu Z; Chen Y; Zheng W; Wang X; Nie S; Metaxas D; Zhang S
Med Image Anal; 2024 Jan; 91():102999. PubMed ID: 37862866
[TBL] [Abstract][Full Text] [Related]
8. Automatic coronary artery segmentation and diagnosis of stenosis by deep learning based on computed tomographic coronary angiography.
Li Y; Wu Y; He J; Jiang W; Wang J; Peng Y; Jia Y; Xiong T; Jia K; Yi Z; Chen M
Eur Radiol; 2022 Sep; 32(9):6037-6045. PubMed ID: 35394183
[TBL] [Abstract][Full Text] [Related]
9. A coronary artery CTA segmentation approach based on deep learning.
Huang C; Yin C
J Xray Sci Technol; 2022; 30(2):245-259. PubMed ID: 34957947
[TBL] [Abstract][Full Text] [Related]
10. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
[TBL] [Abstract][Full Text] [Related]
11. ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Zeng A; Wu C; Lin G; Xie W; Hong J; Huang M; Zhuang J; Bi S; Pan D; Ullah N; Khan KN; Wang T; Shi Y; Li X; Xu X
Comput Med Imaging Graph; 2023 Oct; 109():102287. PubMed ID: 37634975
[TBL] [Abstract][Full Text] [Related]
12. A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation.
Dong C; Xu S; Dai D; Zhang Y; Zhang C; Li Z
Med Image Anal; 2023 Apr; 85():102745. PubMed ID: 36630869
[TBL] [Abstract][Full Text] [Related]
13. Pulmonary arteries segmentation from CT images using PA-Net with attention module and contour loss.
Yuan C; Song S; Yang J; Sun Y; Yang B; Xu L
Med Phys; 2023 Aug; 50(8):4887-4898. PubMed ID: 36752170
[TBL] [Abstract][Full Text] [Related]
14. Automatic coronary plaque detection, classification, and stenosis grading using deep learning and radiomics on computed tomography angiography images: a multi-center multi-vendor study.
Jin X; Li Y; Yan F; Liu Y; Zhang X; Li T; Yang L; Chen H
Eur Radiol; 2022 Aug; 32(8):5276-5286. PubMed ID: 35290509
[TBL] [Abstract][Full Text] [Related]
15. HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric images.
Wang Y; Yang Q; Tian L; Zhou X; Rekik I; Huang H
Med Phys; 2022 Jun; 49(6):3797-3815. PubMed ID: 35301729
[TBL] [Abstract][Full Text] [Related]
16. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
Gu L; Cai XC
Artif Intell Med; 2021 Nov; 121():102189. PubMed ID: 34763804
[TBL] [Abstract][Full Text] [Related]
17. Vessel filtering and segmentation of coronary CT angiographic images.
Huang Y; Yang J; Sun Q; Ma S; Yuan Y; Tan W; Cao P; Feng C
Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1879-1890. PubMed ID: 35764765
[TBL] [Abstract][Full Text] [Related]
18. Sequential vessel segmentation via deep channel attention network.
Hao D; Ding S; Qiu L; Lv Y; Fei B; Zhu Y; Qin B
Neural Netw; 2020 Aug; 128():172-187. PubMed ID: 32447262
[TBL] [Abstract][Full Text] [Related]
19. Fully-automatic segmentation of coronary artery using growing algorithm.
Cui J; Guo H; Wang H; Chen F; Shu L; Li LC
J Xray Sci Technol; 2020; 28(6):1171-1186. PubMed ID: 32925164
[TBL] [Abstract][Full Text] [Related]
20. Automated vessel segmentation in lung CT and CTA images via deep neural networks.
Tan W; Zhou L; Li X; Yang X; Chen Y; Yang J
J Xray Sci Technol; 2021; 29(6):1123-1137. PubMed ID: 34421004
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]