160 related articles for article (PubMed ID: 33676099)
1. Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images.
Zhang D; Chen B; Chong J; Li S
Med Image Anal; 2021 May; 70():102005. PubMed ID: 33676099
[TBL] [Abstract][Full Text] [Related]
2. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
Xiao Z; Su Y; Deng Z; Zhang W
Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
[TBL] [Abstract][Full Text] [Related]
3. Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.
Xu C; Song Y; Zhang D; Bittencourt LK; Tirumani SH; Li S
Med Image Anal; 2023 Dec; 90():102980. PubMed ID: 37820417
[TBL] [Abstract][Full Text] [Related]
4. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.
Liu X; Yuan Q; Gao Y; He K; Wang S; Tang X; Tang J; Shen D
Pattern Recognit; 2022 Feb; 122():108341. PubMed ID: 34565913
[TBL] [Abstract][Full Text] [Related]
5. BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior.
Ou Y; Huang SX; Wong KK; Cummock J; Volpi J; Wang JZ; Wong STC
Comput Med Imaging Graph; 2023 Jul; 107():102236. PubMed ID: 37146318
[TBL] [Abstract][Full Text] [Related]
6. Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images.
Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E
Comput Med Imaging Graph; 2024 Jul; 115():102383. PubMed ID: 38643551
[TBL] [Abstract][Full Text] [Related]
7. Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images.
Yang G; Wang C; Yang J; Chen Y; Tang L; Shao P; Dillenseger JL; Shu H; Luo L
BMC Med Imaging; 2020 Apr; 20(1):37. PubMed ID: 32293303
[TBL] [Abstract][Full Text] [Related]
8. Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography.
Farooq MU; Ullah Z; Gwak J
Comput Med Imaging Graph; 2023 Mar; 104():102173. PubMed ID: 36641970
[TBL] [Abstract][Full Text] [Related]
9. MTAN: A semi-supervised learning model for kidney tumor segmentation.
Sun P; Yang S; Guan H; Mo T; Yu B; Chen Z
J Xray Sci Technol; 2023; 31(6):1295-1313. PubMed ID: 37718833
[TBL] [Abstract][Full Text] [Related]
10. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
Li X; Yu L; Chen H; Fu CW; Xing L; Heng PA
IEEE Trans Neural Netw Learn Syst; 2021 Feb; 32(2):523-534. PubMed ID: 32479407
[TBL] [Abstract][Full Text] [Related]
11. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Wang K; Zhan B; Zu C; Wu X; Zhou J; Zhou L; Wang Y
Med Image Anal; 2022 Jul; 79():102447. PubMed ID: 35509136
[TBL] [Abstract][Full Text] [Related]
12. Semi-supervised contrast learning-based segmentation of choroidal vessel in optical coherence tomography images.
Liu X; Pan J; Zhang Y; Li X; Tang J
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972415
[No Abstract] [Full Text] [Related]
13. Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation.
Cao X; Chen H; Li Y; Peng Y; Wang S; Cheng L
IEEE Trans Med Imaging; 2021 Jan; 40(1):431-443. PubMed ID: 33021936
[TBL] [Abstract][Full Text] [Related]
14. Teacher-student approach for lung tumor segmentation from mixed-supervised datasets.
Fredriksen V; Sevle SOM; Pedersen A; Langø T; Kiss G; Lindseth F
PLoS One; 2022; 17(4):e0266147. PubMed ID: 35381046
[TBL] [Abstract][Full Text] [Related]
15. Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images.
Li Z; Xia Y
IEEE J Biomed Health Inform; 2021 Mar; 25(3):774-783. PubMed ID: 32749988
[TBL] [Abstract][Full Text] [Related]
16. TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images.
Liu X; Liu Q; Zhang Y; Wang M; Tang J
Comput Biol Med; 2023 Feb; 153():106467. PubMed ID: 36584602
[TBL] [Abstract][Full Text] [Related]
17. MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.
Chen G; Ru J; Zhou Y; Rekik I; Pan Z; Liu X; Lin Y; Lu B; Shi J
Neuroimage; 2021 Dec; 244():118568. PubMed ID: 34508895
[TBL] [Abstract][Full Text] [Related]
18. Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.
Li N; Pan Y; Qiu W; Xiong L; Wang Y; Zhang Y
Med Biol Eng Comput; 2024 Jul; 62(7):2231-2245. PubMed ID: 38514501
[TBL] [Abstract][Full Text] [Related]
19. Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry.
Liang Y; Yin Z; Liu H; Zeng H; Wang J; Liu J; Che N
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):785-795. PubMed ID: 34951851
[TBL] [Abstract][Full Text] [Related]
20. STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation.
Hasan SMK; Linte C
Med Image Underst Anal (2022); 2022; 13413():371-386. PubMed ID: 37126464
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]