These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
249 related articles for article (PubMed ID: 33606628)
41. CLIP-Driven Prototype Network for Few-Shot Semantic Segmentation. Guo SC; Liu SK; Wang JY; Zheng WM; Jiang CY Entropy (Basel); 2023 Sep; 25(9):. PubMed ID: 37761652 [TBL] [Abstract][Full Text] [Related]
42. Automatic clinical target volume delineation for cervical cancer in CT images using deep learning. Shi J; Ding X; Liu X; Li Y; Liang W; Wu J Med Phys; 2021 Jul; 48(7):3968-3981. PubMed ID: 33905545 [TBL] [Abstract][Full Text] [Related]
43. DRNet: Double Recalibration Network for Few-Shot Semantic Segmentation. Gao G; Fang Z; Han C; Wei Y; Liu CH; Yan S IEEE Trans Image Process; 2022; 31():6733-6746. PubMed ID: 36282824 [TBL] [Abstract][Full Text] [Related]
44. Towards annotation-efficient segmentation via image-to-image translation. Vorontsov E; Molchanov P; Gazda M; Beckham C; Kautz J; Kadoury S Med Image Anal; 2022 Nov; 82():102624. PubMed ID: 36208571 [TBL] [Abstract][Full Text] [Related]
45. Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. Lu Y; Zheng K; Li W; Wang Y; Harrison AP; Lin C; Wang S; Xiao J; Lu L; Kuo CF; Miao S IEEE Trans Med Imaging; 2021 Oct; 40(10):2672-2684. PubMed ID: 33290215 [TBL] [Abstract][Full Text] [Related]
46. 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]
47. 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]
48. One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer. Liu W; Zhuo Z; Liu Y; Ye C Med Image Anal; 2023 Dec; 90():102968. PubMed ID: 37729793 [TBL] [Abstract][Full Text] [Related]
49. 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]
50. Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks. Lu Q; Li Y; Ye C Med Image Anal; 2021 Aug; 72():102094. PubMed ID: 34004493 [TBL] [Abstract][Full Text] [Related]
51. Few-shot disease recognition algorithm based on supervised contrastive learning. Mu J; Feng Q; Yang J; Zhang J; Yang S Front Plant Sci; 2024; 15():1341831. PubMed ID: 38384766 [TBL] [Abstract][Full Text] [Related]
53. Constrained-CNN losses for weakly supervised segmentation. Kervadec H; Dolz J; Tang M; Granger E; Boykov Y; Ben Ayed I Med Image Anal; 2019 May; 54():88-99. PubMed ID: 30851541 [TBL] [Abstract][Full Text] [Related]
54. Few-shot learning with deformable convolution for multiscale lesion detection in mammography. Li C; Zhang D; Tian Z; Du S; Qu Y Med Phys; 2020 Jul; 47(7):2970-2985. PubMed ID: 32160321 [TBL] [Abstract][Full Text] [Related]
55. Semi-supervised task-driven data augmentation for medical image segmentation. Chaitanya K; Karani N; Baumgartner CF; Erdil E; Becker A; Donati O; Konukoglu E Med Image Anal; 2021 Feb; 68():101934. PubMed ID: 33385699 [TBL] [Abstract][Full Text] [Related]
56. A Few-shot learning approach for Monkeypox recognition from a cross-domain perspective. Chen B; Han Y; Yan L J Biomed Inform; 2023 Aug; 144():104449. PubMed ID: 37488025 [TBL] [Abstract][Full Text] [Related]
57. Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets. Egusquiza I; Picon A; Irusta U; Bereciartua-Perez A; Eggers T; Klukas C; Aramendi E; Navarra-Mestre R Front Plant Sci; 2022; 13():813237. PubMed ID: 35356111 [TBL] [Abstract][Full Text] [Related]
58. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. Ross T; Zimmerer D; Vemuri A; Isensee F; Wiesenfarth M; Bodenstedt S; Both F; Kessler P; Wagner M; Müller B; Kenngott H; Speidel S; Kopp-Schneider A; Maier-Hein K; Maier-Hein L Int J Comput Assist Radiol Surg; 2018 Jun; 13(6):925-933. PubMed ID: 29704196 [TBL] [Abstract][Full Text] [Related]
59. Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases. Burlina P; Paul W; Mathew P; Joshi N; Pacheco KD; Bressler NM JAMA Ophthalmol; 2020 Oct; 138(10):1070-1077. PubMed ID: 32880609 [TBL] [Abstract][Full Text] [Related]
60. MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. He K; Lian C; Adeli E; Huo J; Gao Y; Zhang B; Zhang J; Shen D Med Image Anal; 2021 Jul; 71():102039. PubMed ID: 33831595 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]