867 related articles for article (PubMed ID: 35655843)
1. Attention-VGG16-UNet: a novel deep learning approach for automatic segmentation of the median nerve in ultrasound images.
Huang A; Jiang L; Zhang J; Wang Q
Quant Imaging Med Surg; 2022 Jun; 12(6):3138-3150. PubMed ID: 35655843
[TBL] [Abstract][Full Text] [Related]
2. SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images.
Dai H; Xie W; Xia E
Med Phys; 2024 Mar; 51(3):1798-1811. PubMed ID: 37606374
[TBL] [Abstract][Full Text] [Related]
3. Automatic Segmentation and Assessment of Valvular Regurgitations with Color Doppler Echocardiography Images: A VABC-UNet-Based Framework.
Huang J; Huang A; Xu R; Wu M; Wang P; Wang Q
Bioengineering (Basel); 2023 Nov; 10(11):. PubMed ID: 38002443
[TBL] [Abstract][Full Text] [Related]
4. Dense-UNet: a novel multiphoton
Cai S; Tian Y; Lui H; Zeng H; Wu Y; Chen G
Quant Imaging Med Surg; 2020 Jun; 10(6):1275-1285. PubMed ID: 32550136
[TBL] [Abstract][Full Text] [Related]
5. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
6. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
Tian H; Wang Y; Ji Y; Rahman MM
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
[TBL] [Abstract][Full Text] [Related]
7. Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images.
Salehi M; Ardekani MA; Taramsari AB; Ghaffari H; Haghparast M
Pol J Radiol; 2022; 87():e478-e486. PubMed ID: 36091652
[TBL] [Abstract][Full Text] [Related]
8. Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images.
Moradi M; Du X; Huan T; Chen Y
Biomed Opt Express; 2022 May; 13(5):2728-2738. PubMed ID: 35774323
[TBL] [Abstract][Full Text] [Related]
9. Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net.
Yang J; Faraji M; Basu A
Ultrasonics; 2019 Jul; 96():24-33. PubMed ID: 30947071
[TBL] [Abstract][Full Text] [Related]
10. Automatic segmentation and applicator reconstruction for CT-based brachytherapy of cervical cancer using 3D convolutional neural networks.
Zhang D; Yang Z; Jiang S; Zhou Z; Meng M; Wang W
J Appl Clin Med Phys; 2020 Oct; 21(10):158-169. PubMed ID: 32991783
[TBL] [Abstract][Full Text] [Related]
11. Automated 3D U-net based segmentation of neonatal cerebral ventricles from 3D ultrasound images.
Szentimrey Z; de Ribaupierre S; Fenster A; Ukwatta E
Med Phys; 2022 Feb; 49(2):1034-1046. PubMed ID: 34958147
[TBL] [Abstract][Full Text] [Related]
12. Fully Automatic Liver and Tumor Segmentation from CT Image Using an AIM-Unet.
Özcan F; Uçan ON; Karaçam S; Tunçman D
Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829709
[TBL] [Abstract][Full Text] [Related]
13. Dual attention fusion UNet for COVID-19 lesion segmentation from CT images.
Ma Y; Zhang Y; Chen L; Jiang Q; Wei B
J Xray Sci Technol; 2023; 31(4):713-729. PubMed ID: 37092210
[TBL] [Abstract][Full Text] [Related]
14. Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.
Ye LY; Miao XY; Cai WS; Xu WJ
Comput Methods Programs Biomed; 2022 Jun; 221():106770. PubMed ID: 35640389
[TBL] [Abstract][Full Text] [Related]
15. Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
Zhang B; Qi S; Wu Y; Pan X; Yao Y; Qian W; Guan Y
Comput Methods Programs Biomed; 2022 Jul; 222():106946. PubMed ID: 35716533
[TBL] [Abstract][Full Text] [Related]
16. Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet.
Chen Y; Xing L; Yu L; Bagshaw HP; Buyyounouski MK; Han B
Med Phys; 2020 Dec; 47(12):6421-6429. PubMed ID: 33012016
[TBL] [Abstract][Full Text] [Related]
17. CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images.
Xu X; Wen Y; Zhao L; Zhang Y; Zhao Y; Tang Z; Yang Z; Chen CY
Med Phys; 2021 Nov; 48(11):7127-7140. PubMed ID: 34528263
[TBL] [Abstract][Full Text] [Related]
18. Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models.
Buongiorno R; Del Corso G; Germanese D; Colligiani L; Python L; Romei C; Colantonio S
J Imaging; 2023 Dec; 9(12):. PubMed ID: 38132701
[TBL] [Abstract][Full Text] [Related]
19. Fully automated segmentation of lumbar bone marrow in sagittal, high-resolution T1-weighted magnetic resonance images using 2D U-NET.
Hwang EJ; Kim S; Jung JY
Comput Biol Med; 2022 Jan; 140():105105. PubMed ID: 34864583
[TBL] [Abstract][Full Text] [Related]
20. AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network.
Yu M; Chen X; Zhang W; Liu Y
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458917
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
