683 related articles for article (PubMed ID: 26049713)
1. 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]
2. 3D cell nuclei segmentation based on gradient flow tracking.
Li G; Liu T; Tarokh A; Nie J; Guo L; Mara A; Holley S; Wong ST
BMC Cell Biol; 2007 Sep; 8():40. PubMed ID: 17784958
[TBL] [Abstract][Full Text] [Related]
3. FogBank: a single cell segmentation across multiple cell lines and image modalities.
Chalfoun J; Majurski M; Dima A; Stuelten C; Peskin A; Brady M
BMC Bioinformatics; 2014 Dec; 15(1):431. PubMed ID: 25547324
[TBL] [Abstract][Full Text] [Related]
4. A generic classification-based method for segmentation of nuclei in 3D images of early embryos.
Gul-Mohammed J; Arganda-Carreras I; Andrey P; Galy V; Boudier T
BMC Bioinformatics; 2014 Jan; 15():9. PubMed ID: 24423252
[TBL] [Abstract][Full Text] [Related]
5. Automatic three-dimensional segmentation of mouse embryonic stem cell nuclei by utilising multiple channels of confocal fluorescence images.
Chang YH; Yokota H; Abe K; Tasi MD; Chu SL
J Microsc; 2021 Jan; 281(1):57-75. PubMed ID: 32720710
[TBL] [Abstract][Full Text] [Related]
6. Robust detection and segmentation of cell nuclei in biomedical images based on a computational topology framework.
Rojas-Moraleda R; Xiong W; Halama N; Breitkopf-Heinlein K; Dooley S; Salinas L; Heermann DW; Valous NA
Med Image Anal; 2017 May; 38():90-103. PubMed ID: 28314191
[TBL] [Abstract][Full Text] [Related]
7. Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information.
Kostrykin L; Schnörr C; Rohr K
Med Image Anal; 2019 Dec; 58():101536. PubMed ID: 31369995
[TBL] [Abstract][Full Text] [Related]
8. Accurate Detection of Dysmorphic Nuclei Using Dynamic Programming and Supervised Classification.
Verschuuren M; De Vylder J; Catrysse H; Robijns J; Philips W; De Vos WH
PLoS One; 2017; 12(1):e0170688. PubMed ID: 28125723
[TBL] [Abstract][Full Text] [Related]
9. Segmentation of clustered nuclei with shape markers and marking function.
Cheng J; Rajapakse JC
IEEE Trans Biomed Eng; 2009 Mar; 56(3):741-8. PubMed ID: 19272880
[TBL] [Abstract][Full Text] [Related]
10. An Automatic Segmentation Method Combining an Active Contour Model and a Classification Technique for Detecting Polycomb-group Proteinsin High-Throughput Microscopy Images.
Gregoretti F; Cesarini E; Lanzuolo C; Oliva G; Antonelli L
Methods Mol Biol; 2016; 1480():181-97. PubMed ID: 27659985
[TBL] [Abstract][Full Text] [Related]
11. Multiscale image analysis reveals structural heterogeneity of the cell microenvironment in homotypic spheroids.
Schmitz A; Fischer SC; Mattheyer C; Pampaloni F; Stelzer EH
Sci Rep; 2017 Mar; 7():43693. PubMed ID: 28255161
[TBL] [Abstract][Full Text] [Related]
12. CellECT: cell evolution capturing tool.
Delibaltov DL; Gaur U; Kim J; Kourakis M; Newman-Smith E; Smith W; Belteton SA; Szymanski DB; Manjunath BS
BMC Bioinformatics; 2016 Feb; 17():88. PubMed ID: 26887436
[TBL] [Abstract][Full Text] [Related]
13. Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming.
McCullough DP; Gudla PR; Harris BS; Collins JA; Meaburn KJ; Nakaya MA; Yamaguchi TP; Misteli T; Lockett SJ
IEEE Trans Med Imaging; 2008 May; 27(5):723-34. PubMed ID: 18450544
[TBL] [Abstract][Full Text] [Related]
14. An adjustable-threshold algorithm for the identification of objects in three-dimensional images.
Ponomarev AL; Davis RL
Bioinformatics; 2003 Jul; 19(11):1431-5. PubMed ID: 12874057
[TBL] [Abstract][Full Text] [Related]
15. Nonrigid registration of 3-d multichannel microscopy images of cell nuclei.
Yang S; Kohler D; Teller K; Cremer T; Le Baccon P; Heard E; Eils R; Rohr K
IEEE Trans Image Process; 2008 Apr; 17(4):493-9. PubMed ID: 18390358
[TBL] [Abstract][Full Text] [Related]
16. Confocal DNA cytometry: a contour-based segmentation algorithm for automated three-dimensional image segmentation.
Beliën JA; van Ginkel HA; Tekola P; Ploeger LS; Poulin NM; Baak JP; van Diest PJ
Cytometry; 2002 Sep; 49(1):12-21. PubMed ID: 12210606
[TBL] [Abstract][Full Text] [Related]
17. Automated Segmentation of Nuclei in Breast Cancer Histopathology Images.
Paramanandam M; O'Byrne M; Ghosh B; Mammen JJ; Manipadam MT; Thamburaj R; Pakrashi V
PLoS One; 2016; 11(9):e0162053. PubMed ID: 27649496
[TBL] [Abstract][Full Text] [Related]
18. Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation.
Rohlfing T; Russakoff DB; Maurer CR
IEEE Trans Med Imaging; 2004 Aug; 23(8):983-94. PubMed ID: 15338732
[TBL] [Abstract][Full Text] [Related]
19. A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images.
Lin G; Chawla MK; Olson K; Barnes CA; Guzowski JF; Bjornsson C; Shain W; Roysam B
Cytometry A; 2007 Sep; 71(9):724-36. PubMed ID: 17654650
[TBL] [Abstract][Full Text] [Related]
20. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.
Mouelhi A; Rmili H; Ali JB; Sayadi M; Doghri R; Mrad K
Comput Methods Programs Biomed; 2018 Oct; 165():37-51. PubMed ID: 30337080
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
