156 related articles for article (PubMed ID: 34226836)
1. A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.
Yu F; Zhu Y; Qin X; Xin Y; Yang D; Xu T
IET Image Process; 2021 Sep; 15(11):2604-2613. PubMed ID: 34226836
[TBL] [Abstract][Full Text] [Related]
2. MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CT.
Zheng B; Liu Y; Zhu Y; Yu F; Jiang T; Yang D; Xu T
IEEE Access; 2020; 8():185786-185795. PubMed ID: 34812359
[TBL] [Abstract][Full Text] [Related]
3. Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network.
Polat H
Phys Eng Sci Med; 2022 Jun; 45(2):443-455. PubMed ID: 35286619
[TBL] [Abstract][Full Text] [Related]
4. PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images.
Xu Y; Cai M; Lin L; Zhang Y; Hu H; Peng Z; Zhang Q; Chen Q; Mao X; Iwamoto Y; Han XH; Chen YW; Tong R
Med Phys; 2021 Jul; 48(7):3752-3766. PubMed ID: 33950526
[TBL] [Abstract][Full Text] [Related]
5. D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution.
Zhao X; Zhang P; Song F; Fan G; Sun Y; Wang Y; Tian Z; Zhang L; Zhang G
Comput Biol Med; 2021 Aug; 135():104526. PubMed ID: 34146799
[TBL] [Abstract][Full Text] [Related]
6. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
7. Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT.
Wang Z; Voiculescu I
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2956-2959. PubMed ID: 34891865
[TBL] [Abstract][Full Text] [Related]
8. LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework.
Kumar Singh V; Abdel-Nasser M; Pandey N; Puig D
Diagnostics (Basel); 2021 Jan; 11(2):. PubMed ID: 33498999
[TBL] [Abstract][Full Text] [Related]
9. MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images.
Pan X; Zhu H; Du J; Hu G; Han B; Jia Y
J Multidiscip Healthc; 2023; 16():2023-2043. PubMed ID: 37489133
[TBL] [Abstract][Full Text] [Related]
10. COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations.
Yan Q; Wang B; Gong D; Luo C; Zhao W; Shen J; Ai J; Shi Q; Zhang Y; Jin S; Zhang L; You Z
IEEE Trans Big Data; 2021 Mar; 7(1):13-24. PubMed ID: 36811064
[TBL] [Abstract][Full Text] [Related]
11. Multi-task edge-recalibrated network for male pelvic multi-organ segmentation on CT images.
Tong N; Gou S; Chen S; Yao Y; Yang S; Cao M; Kishan A; Sheng K
Phys Med Biol; 2021 Jan; 66(3):035001. PubMed ID: 33197901
[TBL] [Abstract][Full Text] [Related]
12. COVID-19 lesion discrimination and localization network based on multi-receptive field attention module on CT images.
Ma X; Zheng B; Zhu Y; Yu F; Zhang R; Chen B
Optik (Stuttg); 2021 Sep; 241():167100. PubMed ID: 33976457
[TBL] [Abstract][Full Text] [Related]
13. Multi-scale feature pyramid fusion network for medical image segmentation.
Zhang B; Wang Y; Ding C; Deng Z; Li L; Qin Z; Ding Z; Bian L; Yang C
Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):353-365. PubMed ID: 36042149
[TBL] [Abstract][Full Text] [Related]
14. Fully feature fusion based neural network for COVID-19 lesion segmentation in CT images.
Li W; Cao Y; Wang S; Wan B
Biomed Signal Process Control; 2023 Sep; 86():104939. PubMed ID: 37082352
[TBL] [Abstract][Full Text] [Related]
15. Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images.
Lu F; Tang C; Liu T; Zhang Z; Li L
Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904754
[TBL] [Abstract][Full Text] [Related]
16. GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation.
Murmu A; Kumar P
Med Biol Eng Comput; 2024 Feb; ():. PubMed ID: 38308670
[TBL] [Abstract][Full Text] [Related]
17. MPS-Net: Multi-Point Supervised Network for CT Image Segmentation of COVID-19.
Pei HY; Yang D; Liu GR; Lu T
IEEE Access; 2021; 9():47144-47153. PubMed ID: 34812388
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism.
Budak Ü; Çıbuk M; Cömert Z; Şengür A
J Digit Imaging; 2021 Apr; 34(2):263-272. PubMed ID: 33674979
[TBL] [Abstract][Full Text] [Related]
20. FAM: focal attention module for lesion segmentation of COVID-19 CT images.
Wu X; Zhang Z; Guo L; Chen H; Luo Q; Jin B; Gu W; Lu F; Chen J
J Real Time Image Process; 2022; 19(6):1091-1104. PubMed ID: 36091622
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]