129 related articles for article (PubMed ID: 38319757)
1. 3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection.
Guo Z; Tan Z; Feng J; Zhou J
IEEE Trans Med Imaging; 2024 Jun; 43(6):2241-2253. PubMed ID: 38319757
[TBL] [Abstract][Full Text] [Related]
2. PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
Wang G; Luo X; Gu R; Yang S; Qu Y; Zhai S; Zhao Q; Li K; Zhang S
Comput Methods Programs Biomed; 2023 Apr; 231():107398. PubMed ID: 36773591
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Light mixed-supervised segmentation for 3D medical image data.
Yang H; Tan T; Tegzes P; Dong X; Tamada R; Ferenczi L; Avinash G
Med Phys; 2024 Jan; 51(1):167-178. PubMed ID: 37909833
[TBL] [Abstract][Full Text] [Related]
5. 3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration.
Bitarafan A; Nikdan M; Baghshah MS
IEEE J Biomed Health Inform; 2021 Jul; 25(7):2665-2672. PubMed ID: 33211667
[TBL] [Abstract][Full Text] [Related]
6. SAC-Net: Learning with weak and noisy labels in histopathology image segmentation.
Guo R; Xie K; Pagnucco M; Song Y
Med Image Anal; 2023 May; 86():102790. PubMed ID: 36878159
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 3D Vessel Segmentation With Limited Guidance of 2D Structure-Agnostic Vessel Annotations.
Chen H; Wang X; Li H; Wang L
IEEE J Biomed Health Inform; 2024 Jun; PP():. PubMed ID: 38833403
[TBL] [Abstract][Full Text] [Related]
9. Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.
Zhang B; Xiao J; Jiao J; Wei Y; Zhao Y
IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8082-8096. PubMed ID: 34033532
[TBL] [Abstract][Full Text] [Related]
10. Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.
Chikontwe P; Jung Sung H; Jeong J; Kim M; Go H; Jeong Nam S; Hyun Park S
Med Image Anal; 2022 Aug; 80():102482. PubMed ID: 35688048
[TBL] [Abstract][Full Text] [Related]
11. URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation.
Qin C; Wang Y; Zhang J
Comput Methods Programs Biomed; 2024 Jun; 254():108278. PubMed ID: 38878360
[TBL] [Abstract][Full Text] [Related]
12. An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Wang K; Wang Y; Zhan B; Yang Y; Zu C; Wu X; Zhou J; Nie D; Zhou L
Int J Neural Syst; 2022 Sep; 32(9):2250043. PubMed ID: 35912583
[TBL] [Abstract][Full Text] [Related]
13. OCTAve: 2D En Face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning With Locality Augmentation.
Chinkamol A; Kanjaras V; Sawangjai P; Zhao Y; Sudhawiyangkul T; Chantrapornchai C; Guan C; Wilaiprasitporn T
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1931-1942. PubMed ID: 37015675
[TBL] [Abstract][Full Text] [Related]
14. Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.
Han C; Lin J; Mai J; Wang Y; Zhang Q; Zhao B; Chen X; Pan X; Shi Z; Xu Z; Yao S; Yan L; Lin H; Huang X; Liang C; Han G; Liu Z
Med Image Anal; 2022 Aug; 80():102487. PubMed ID: 35671591
[TBL] [Abstract][Full Text] [Related]
15. Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation.
Zhou Y; Wu Y; Wang Z; Wei B; Lai M; Shou J; Fan Y; Xu Y
IEEE Trans Med Imaging; 2023 Oct; 42(10):3104-3116. PubMed ID: 37171933
[TBL] [Abstract][Full Text] [Related]
16. Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.
KoziĆski M; Mosinska A; Salzmann M; Fua P
Med Image Anal; 2020 Feb; 60():101590. PubMed ID: 31841949
[TBL] [Abstract][Full Text] [Related]
17. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Lin Y; Qu Z; Chen H; Gao Z; Li Y; Xia L; Ma K; Zheng Y; Cheng KT
Med Image Anal; 2023 Oct; 89():102933. PubMed ID: 37611532
[TBL] [Abstract][Full Text] [Related]
18. Mutual learning with reliable pseudo label for semi-supervised medical image segmentation.
Su J; Luo Z; Lian S; Lin D; Li S
Med Image Anal; 2024 May; 94():103111. PubMed ID: 38401271
[TBL] [Abstract][Full Text] [Related]
19. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
20. SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation.
Tao A; Duan Y; Wei Y; Lu J; Zhou J
IEEE Trans Image Process; 2022; 31():4952-4965. PubMed ID: 35853055
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]