247 related articles for article (PubMed ID: 37060061)
1. Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture.
Zheng T; Qin H; Cui Y; Wang R; Zhao W; Zhang S; Geng S; Zhao L
BMC Med Imaging; 2023 Apr; 23(1):56. PubMed ID: 37060061
[TBL] [Abstract][Full Text] [Related]
2. Pulmonary nodule segmentation based on REMU-Net.
Li D; Yuan S; Yao G
Phys Eng Sci Med; 2022 Sep; 45(3):995-1004. PubMed ID: 35877020
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation.
Lin X; Zhou X; Tong T; Nie X; Wang L; Zheng H; Li J; Xue E; Chen S; Zheng M; Chen C; Jiang H; Du M; Gao Q
Comput Methods Programs Biomed; 2022 Dec; 227():107186. PubMed ID: 36334526
[TBL] [Abstract][Full Text] [Related]
6. A Novel Model of Thyroid Nodule Segmentation for Ultrasound Images.
Li C; Du R; Luo Q; Wang R; Ding X
Ultrasound Med Biol; 2023 Feb; 49(2):489-496. PubMed ID: 36328887
[TBL] [Abstract][Full Text] [Related]
7. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
8. FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.
Chen H; Yu MA; Chen C; Zhou K; Qi S; Chen Y; Xiao R
Comput Biol Med; 2023 Feb; 153():106514. PubMed ID: 36628913
[TBL] [Abstract][Full Text] [Related]
9. Local and Context-Attention Adaptive LCA-Net for Thyroid Nodule Segmentation in Ultrasound Images.
Tao Z; Dang H; Shi Y; Wang W; Wang X; Ren S
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015742
[TBL] [Abstract][Full Text] [Related]
10. A two-stage network with prior knowledge guidance for medullary thyroid carcinoma recognition in ultrasound images.
Pan L; Cai Y; Lin N; Yang L; Zheng S; Huang L
Med Phys; 2022 Apr; 49(4):2413-2426. PubMed ID: 35103313
[TBL] [Abstract][Full Text] [Related]
11. Objective assessment of segmentation models for thyroid ultrasound images.
Yadav N; Dass R; Virmani J
J Ultrasound; 2023 Sep; 26(3):673-685. PubMed ID: 36195781
[TBL] [Abstract][Full Text] [Related]
12. TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision.
Sun J; Li C; Lu Z; He M; Zhao T; Li X; Gao L; Xie K; Lin T; Sui J; Xi Q; Zhang F; Ni X
Comput Methods Programs Biomed; 2022 Mar; 215():106600. PubMed ID: 34971855
[TBL] [Abstract][Full Text] [Related]
13. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
[TBL] [Abstract][Full Text] [Related]
14. Convolutional neural network for automated mass segmentation in mammography.
Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
[TBL] [Abstract][Full Text] [Related]
15. ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
Ji Z; Mu J; Liu J; Zhang H; Dai C; Zhang X; Ganchev I
Med Biol Eng Comput; 2024 Jun; 62(6):1673-1687. PubMed ID: 38326677
[TBL] [Abstract][Full Text] [Related]
16. Ultrasonic thyroid nodule detection method based on U-Net network.
Chu C; Zheng J; Zhou Y
Comput Methods Programs Biomed; 2021 Feb; 199():105906. PubMed ID: 33360682
[TBL] [Abstract][Full Text] [Related]
17. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
Wang J; Lv P; Wang H; Shi C
Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
[TBL] [Abstract][Full Text] [Related]
18. BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation.
Bi H; Cai C; Sun J; Jiang Y; Lu G; Shu H; Ni X
Comput Methods Programs Biomed; 2023 Aug; 238():107614. PubMed ID: 37244233
[TBL] [Abstract][Full Text] [Related]
19. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
Liu Z; Yuan H; Wang H
Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
[TBL] [Abstract][Full Text] [Related]
20. Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images.
Agnes SA
J Med Phys; 2023; 48(2):161-174. PubMed ID: 37576094
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
