138 related articles for article (PubMed ID: 36501841)
1. Learning with Weak Annotations for Robust Maritime Obstacle Detection.
Žust L; Kristan M
Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501841
[TBL] [Abstract][Full Text] [Related]
2. ROSEBUD: A Deep Fluvial Segmentation Dataset for Monocular Vision-Based River Navigation and Obstacle Avoidance.
Lambert R; Chavez-Galaviz J; Li J; Mahmoudian N
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808174
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. WaSR-A Water Segmentation and Refinement Maritime Obstacle Detection Network.
Bovcon B; Kristan M
IEEE Trans Cybern; 2022 Dec; 52(12):12661-12674. PubMed ID: 34232901
[TBL] [Abstract][Full Text] [Related]
5. Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
Lyu F; Ma AJ; Yip TC; Wong GL; Yuen PC
IEEE Trans Med Imaging; 2022 May; 41(5):1138-1149. PubMed ID: 34871168
[TBL] [Abstract][Full Text] [Related]
6. eWaSR-An Embedded-Compute-Ready Maritime Obstacle Detection Network.
Teršek M; Žust L; Kristan M
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420553
[TBL] [Abstract][Full Text] [Related]
7. Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
Dang VN; Galati F; Cortese R; Di Giacomo G; Marconetto V; Mathur P; Lekadir K; Lorenzi M; Prados F; Zuluaga MA
Med Image Anal; 2022 Jan; 75():102263. PubMed ID: 34731770
[TBL] [Abstract][Full Text] [Related]
8. Group-Wise Learning for Weakly Supervised Semantic Segmentation.
Zhou T; Li L; Li X; Feng CM; Li J; Shao L
IEEE Trans Image Process; 2022; 31():799-811. PubMed ID: 34910633
[TBL] [Abstract][Full Text] [Related]
9. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images.
Sebai M; Wang X; Wang T
Med Biol Eng Comput; 2020 Jul; 58(7):1603-1623. PubMed ID: 32445109
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry.
Kataria T; Rajamani S; Ayubi AB; Bronner M; Jedrzkiewicz J; Knudsen BS; Elhabian SY
Mod Pathol; 2023 Dec; 36(12):100331. PubMed ID: 37716506
[TBL] [Abstract][Full Text] [Related]
12. FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation.
Sestini L; Rosa B; De Momi E; Ferrigno G; Padoy N
Med Image Anal; 2023 Apr; 85():102751. PubMed ID: 36716700
[TBL] [Abstract][Full Text] [Related]
13. Improving Semantic Segmentation via Efficient Self-Training.
Zhu Y; Zhang Z; Wu C; Zhang Z; He T; Zhang H; Manmatha R; Li M; Smola A
IEEE Trans Pattern Anal Mach Intell; 2024 Mar; 46(3):1589-1602. PubMed ID: 34951840
[TBL] [Abstract][Full Text] [Related]
14. Effective Free-Driving Region Detection for Mobile Robots by Uncertainty Estimation Using RGB-D Data.
Nguyen TK; Nguyen PT; Nguyen DD; Kuo CH
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808244
[TBL] [Abstract][Full Text] [Related]
15. Latent Graph Representations for Critical View of Safety Assessment.
Murali A; Alapatt D; Mascagni P; Vardazaryan A; Garcia A; Okamoto N; Mutter D; Padoy N
IEEE Trans Med Imaging; 2024 Mar; 43(3):1247-1258. PubMed ID: 37971921
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
Zhou X; Takayama R; Wang S; Hara T; Fujita H
Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
[TBL] [Abstract][Full Text] [Related]
18. Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.
Zhu Y; Hu P; Li X; Tian Y; Bai X; Liang T; Li J
Med Phys; 2022 Sep; 49(9):5799-5818. PubMed ID: 35833617
[TBL] [Abstract][Full Text] [Related]
19. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Liu L; Zhang Z; Li S; Ma K; Zheng Y
Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
[TBL] [Abstract][Full Text] [Related]
20. Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration.
Grupp RB; Unberath M; Gao C; Hegeman RA; Murphy RJ; Alexander CP; Otake Y; McArthur BA; Armand M; Taylor RH
Int J Comput Assist Radiol Surg; 2020 May; 15(5):759-769. PubMed ID: 32333361
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]