125 related articles for article (PubMed ID: 38902496)
1. Automatic classification of normal and abnormal cell division using deep learning.
Delgado-Rodriguez P; Sánchez RM; Rouméas-Noël E; Paris F; Munoz-Barrutia A
Sci Rep; 2024 Jun; 14(1):14241. PubMed ID: 38902496
[TBL] [Abstract][Full Text] [Related]
2. A semi-Markov model for mitosis segmentation in time-lapse phase contrast microscopy image sequences of stem cell populations.
Liu AA; Li K; Kanade T
IEEE Trans Med Imaging; 2012 Feb; 31(2):359-69. PubMed ID: 21954199
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A novel framework for cellular tracking and mitosis detection in dense phase contrast microscopy images.
Thirusittampalam K; Hossain MJ; Ghita O; Whelan PF
IEEE J Biomed Health Inform; 2013 May; 17(3):642-53. PubMed ID: 24592465
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.
Rubin M; Stein O; Turko NA; Nygate Y; Roitshtain D; Karako L; Barnea I; Giryes R; Shaked NT
Med Image Anal; 2019 Oct; 57():176-185. PubMed ID: 31325721
[TBL] [Abstract][Full Text] [Related]
7. Tracking cell lineages in 3D by incremental deep learning.
Sugawara K; Çevrim Ç; Averof M
Elife; 2022 Jan; 11():. PubMed ID: 34989675
[TBL] [Abstract][Full Text] [Related]
8. Cell mitosis event analysis in phase contrast microscopy images using deep learning.
Mao Y; Han L; Yin Z
Med Image Anal; 2019 Oct; 57():32-43. PubMed ID: 31261018
[TBL] [Abstract][Full Text] [Related]
9. DetecDiv, a generalist deep-learning platform for automated cell division tracking and survival analysis.
Aspert T; Hentsch D; Charvin G
Elife; 2022 Aug; 11():. PubMed ID: 35976090
[TBL] [Abstract][Full Text] [Related]
10. Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy.
Scherr T; Löffler K; Böhland M; Mikut R
PLoS One; 2020; 15(12):e0243219. PubMed ID: 33290432
[TBL] [Abstract][Full Text] [Related]
11. Tracking biological cells in time-lapse microscopy: an adaptive technique combining motion and topological features.
Dewan MA; Ahmad MO; Swamy MN
IEEE Trans Biomed Eng; 2011 Jun; 58(6):1637-47. PubMed ID: 21278009
[TBL] [Abstract][Full Text] [Related]
12. DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks.
Li C; Wang X; Liu W; Latecki LJ
Med Image Anal; 2018 Apr; 45():121-133. PubMed ID: 29455111
[TBL] [Abstract][Full Text] [Related]
13. Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy.
Grah JS; Harrington JA; Koh SB; Pike JA; Schreiner A; Burger M; Schönlieb CB; Reichelt S
Methods; 2017 Feb; 115():91-99. PubMed ID: 28189773
[TBL] [Abstract][Full Text] [Related]
14. Machine learning applications in cell image analysis.
Kan A
Immunol Cell Biol; 2017 Jul; 95(6):525-530. PubMed ID: 28294138
[TBL] [Abstract][Full Text] [Related]
15. Segmentation, Detection, and Tracking of Stem Cell Image by Digital Twins and Lightweight Deep Learning.
Du X; Liu M; Sun Y
Comput Intell Neurosci; 2022; 2022():6003293. PubMed ID: 35422850
[TBL] [Abstract][Full Text] [Related]
16. Label free cell-tracking and division detection based on 2D time-lapse images for lineage analysis of early embryo development.
Cicconet M; Gutwein M; Gunsalus KC; Geiger D
Comput Biol Med; 2014 Aug; 51():24-34. PubMed ID: 24873887
[TBL] [Abstract][Full Text] [Related]
17. Large-scale tracking and classification for automatic analysis of cell migration and proliferation, and experimental optimization of high-throughput screens of neuroblastoma cells.
Harder N; Batra R; Diessl N; Gogolin S; Eils R; Westermann F; König R; Rohr K
Cytometry A; 2015 Jun; 87(6):524-40. PubMed ID: 25630981
[TBL] [Abstract][Full Text] [Related]
18. Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search.
Zhu Y; Meijering E
Bioinformatics; 2021 Dec; 37(24):4844-4850. PubMed ID: 34329376
[TBL] [Abstract][Full Text] [Related]
19. CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks.
Wang H; Gu H; Qin P; Wang J
PLoS One; 2020; 15(11):e0242013. PubMed ID: 33166371
[TBL] [Abstract][Full Text] [Related]
20. pcnaDeep: a fast and robust single-cell tracking method using deep-learning mediated cell cycle profiling.
Gui Y; Xie S; Wang Y; Wang P; Yao R; Gao X; Dong Y; Wang G; Chan KY
Bioinformatics; 2022 Oct; 38(20):4846-4847. PubMed ID: 36047834
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]