154 related articles for article (PubMed ID: 38775410)
1. Automated segmentation and recognition of C. elegans whole-body cells.
Li Y; Lai C; Wang M; Wu J; Li Y; Peng H; Qu L
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38775410
[TBL] [Abstract][Full Text] [Related]
2. Simultaneous recognition and segmentation of cells: application in C.elegans.
Qu L; Long F; Liu X; Kim S; Myers E; Peng H
Bioinformatics; 2011 Oct; 27(20):2895-902. PubMed ID: 21849395
[TBL] [Abstract][Full Text] [Related]
3. 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images.
Wen C; Miura T; Voleti V; Yamaguchi K; Tsutsumi M; Yamamoto K; Otomo K; Fujie Y; Teramoto T; Ishihara T; Aoki K; Nemoto T; Hillman EM; Kimura KD
Elife; 2021 Mar; 10():. PubMed ID: 33781383
[TBL] [Abstract][Full Text] [Related]
4. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
5. A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution.
Li Y; Liu X; Jia X; Jiang T; Wu J; Zhang Q; Li J; Li X; Li A
Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 36946294
[TBL] [Abstract][Full Text] [Related]
6. A novel cell nuclei segmentation method for 3D C. elegans embryonic time-lapse images.
Chen L; Chan LL; Zhao Z; Yan H
BMC Bioinformatics; 2013 Nov; 14():328. PubMed ID: 24252066
[TBL] [Abstract][Full Text] [Related]
7. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
[TBL] [Abstract][Full Text] [Related]
8. Biologically constrained optimization based cell membrane segmentation in C. elegans embryos.
Azuma Y; Onami S
BMC Bioinformatics; 2017 Jun; 18(1):307. PubMed ID: 28629355
[TBL] [Abstract][Full Text] [Related]
9. Robust and automated three-dimensional segmentation of densely packed cell nuclei in different biological specimens with Lines-of-Sight decomposition.
Mathew B; Schmitz A; Muñoz-Descalzo S; Ansari N; Pampaloni F; Stelzer EH; Fischer SC
BMC Bioinformatics; 2015 Jun; 16():187. PubMed ID: 26049713
[TBL] [Abstract][Full Text] [Related]
10. Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images.
Zhao M; An J; Li H; Zhang J; Li ST; Li XM; Dong MQ; Mao H; Tao L
BMC Bioinformatics; 2017 Sep; 18(1):412. PubMed ID: 28915791
[TBL] [Abstract][Full Text] [Related]
11. U-Net based deep learning bladder segmentation in CT urography.
Ma X; Hadjiiski LM; Wei J; Chan HP; Cha KH; Cohan RH; Caoili EM; Samala R; Zhou C; Lu Y
Med Phys; 2019 Apr; 46(4):1752-1765. PubMed ID: 30734932
[TBL] [Abstract][Full Text] [Related]
12. Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.
Cao J; Guan G; Ho VWS; Wong MK; Chan LY; Tang C; Zhao Z; Yan H
Nat Commun; 2020 Dec; 11(1):6254. PubMed ID: 33288755
[TBL] [Abstract][Full Text] [Related]
13. Single-cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates.
Jelli E; Ohmura T; Netter N; Abt M; Jiménez-Siebert E; Neuhaus K; Rode DKH; Nadell CD; Drescher K
Mol Microbiol; 2023 Jun; 119(6):659-676. PubMed ID: 37066636
[TBL] [Abstract][Full Text] [Related]
14. CellSNAP: a fast, accurate algorithm for 3D cell segmentation in quantitative phase imaging.
Raj P; Paidi SK; Conway L; Chatterjee A; Barman I
J Biomed Opt; 2024 Jun; 29(Suppl 2):S22706. PubMed ID: 38638450
[TBL] [Abstract][Full Text] [Related]
15. LumVertCancNet: A novel 3D lumbar vertebral body cancellous bone location and segmentation method based on hybrid Swin-transformer.
Zhang Y; Shi Z; Wang H; Cui S; Zhang L; Liu J; Shan X; Liu Y; Fang L
Comput Biol Med; 2024 Mar; 171():108237. PubMed ID: 38422966
[TBL] [Abstract][Full Text] [Related]
16. Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images.
Mela CA; Liu Y
BMC Bioinformatics; 2021 Jun; 22(1):325. PubMed ID: 34130628
[TBL] [Abstract][Full Text] [Related]
17. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
Tian H; Wang Y; Ji Y; Rahman MM
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
[TBL] [Abstract][Full Text] [Related]
18. Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space.
Toyoshima Y; Tokunaga T; Hirose O; Kanamori M; Teramoto T; Jang MS; Kuge S; Ishihara T; Yoshida R; Iino Y
PLoS Comput Biol; 2016 Jun; 12(6):e1004970. PubMed ID: 27271939
[TBL] [Abstract][Full Text] [Related]
19. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution.
Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L
BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560
[TBL] [Abstract][Full Text] [Related]
20. Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
Duan J; Bello G; Schlemper J; Bai W; Dawes TJW; Biffi C; de Marvao A; Doumoud G; O'Regan DP; Rueckert D
IEEE Trans Med Imaging; 2019 Sep; 38(9):2151-2164. PubMed ID: 30676949
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
