151 related articles for article (PubMed ID: 37114669)
1. A Multiscale Attentional Unet Model for Automatic Segmentation in Medical Ultrasound Images.
Wang R; Zhou H; Fu P; Shen H; Bai Y
Ultrason Imaging; 2023 Jul; 45(4):159-174. PubMed ID: 37114669
[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. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Ultrasound image segmentation of renal tumors based on UNet++ with fusion of multiscale residuals and dual attention.
Qi H; Wang Z; Qi X; Shi Y; Xie T
Phys Med Biol; 2024 Mar; 69(7):. PubMed ID: 38412532
[No Abstract] [Full Text] [Related]
9. Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT image.
Agnes SA; Anitha J
J Med Imaging (Bellingham); 2022 Sep; 9(5):052402. PubMed ID: 35573467
[No Abstract] [Full Text] [Related]
10. Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers.
Shahroudnejad A; Vega R; Forouzandeh A; Balachandran S; Jaremko J; Noga M; Hareendranathan AR; Kapur J; Punithakumar K
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3118-3121. PubMed ID: 34891902
[TBL] [Abstract][Full Text] [Related]
11. Real-time reliable semantic segmentation of thyroid nodules in ultrasound images.
Xing G; Wang S; Gao J; Li X
Phys Med Biol; 2024 Jan; 69(2):. PubMed ID: 38048630
[No Abstract] [Full Text] [Related]
12. Hybrid transformer UNet for thyroid segmentation from ultrasound scans.
Chi J; Li Z; Sun Z; Yu X; Wang H
Comput Biol Med; 2023 Feb; 153():106453. PubMed ID: 36603434
[TBL] [Abstract][Full Text] [Related]
13. Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules.
Gong H; Chen J; Chen G; Li H; Li G; Chen F
Comput Biol Med; 2023 Mar; 155():106389. PubMed ID: 36812810
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis.
Liu W; Lin C; Chen D; Niu L; Zhang R; Pi Z
Comput Methods Programs Biomed; 2024 Feb; 244():107999. PubMed ID: 38194766
[TBL] [Abstract][Full Text] [Related]
17. Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques: Sharp attention UNet.
Khaledyan D; Marini TJ; M Baran T; O'Connell A; Parker K
PLoS One; 2023; 18(12):e0289195. PubMed ID: 38091358
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images.
Radhachandran A; Kinzel A; Chen J; Sant V; Patel M; Masamed R; Arnold CW; Speier W
Comput Biol Med; 2024 Mar; 170():107974. PubMed ID: 38244471
[TBL] [Abstract][Full Text] [Related]
20. TDD-UNet:Transformer with double decoder UNet for COVID-19 lesions segmentation.
Huang X; Chen J; Chen M; Chen L; Wan Y
Comput Biol Med; 2022 Dec; 151(Pt A):106306. PubMed ID: 36403357
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
