119 related articles for article (PubMed ID: 7945699)
1. An algorithm for automatic tracking of nuclear boundaries.
Xiao J; Christen R; Minimo C; Bartels PH; Bibbo M
Anal Quant Cytol Histol; 1994 Aug; 16(4):240-6. PubMed ID: 7945699
[TBL] [Abstract][Full Text] [Related]
2. Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models.
Glotsos D; Spyridonos P; Cavouras D; Ravazoula P; Dadioti PA; Nikiforidis G
Anal Quant Cytol Histol; 2004 Dec; 26(6):331-40. PubMed ID: 15678615
[TBL] [Abstract][Full Text] [Related]
3. Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results.
Nielsen B; Albregtsen F; Danielsen HE
Cytometry A; 2012 Jul; 81(7):588-601. PubMed ID: 22605528
[TBL] [Abstract][Full Text] [Related]
4. Automatic segmentation of cell nuclei in bladder and skin tissue for karyometric analysis.
Korde VR; Bartels H; Barton J; Ranger-Moore J
Anal Quant Cytol Histol; 2009 Apr; 31(2):83-9. PubMed ID: 19402384
[TBL] [Abstract][Full Text] [Related]
5. Improved automatic detection and segmentation of cell nuclei in histopathology images.
Al-Kofahi Y; Lassoued W; Lee W; Roysam B
IEEE Trans Biomed Eng; 2010 Apr; 57(4):841-52. PubMed ID: 19884070
[TBL] [Abstract][Full Text] [Related]
6. Comparison of stains for image segmentation and measurement of nuclear parameters by computerised image analysis using IBAS 2000.
Deverell MH; Salisbury JR; Whimster WF
Pathol Res Pract; 1989 Nov; 185(5):555-7. PubMed ID: 2483265
[TBL] [Abstract][Full Text] [Related]
7. Use of computer graphic filters for the nuclear grading of hematoxylin and eosin-stained specimens from prostatic lesions.
Bibbo M; Xiao J; Christen R; Fitzpatrick B; Galera-Davidson H; Bartels PH; Minimo C
Anal Quant Cytol Histol; 1994 Jun; 16(3):183-8. PubMed ID: 7522452
[TBL] [Abstract][Full Text] [Related]
8. Tumor grading model employing geometric analysis of histopathological images with characteristic nuclei dictionary.
Brindha V; Jayashree P; Karthik P; Manikandan P
Comput Biol Med; 2022 Oct; 149():106008. PubMed ID: 36030720
[TBL] [Abstract][Full Text] [Related]
9. The delineation of nuclear boundaries in microscopic images.
Jagoe R; Sowter C
Anal Quant Cytol Histol; 1986 Dec; 8(4):305-13. PubMed ID: 3814297
[TBL] [Abstract][Full Text] [Related]
10. An edge relocation segmentation algorithm.
MacAulay C; Palcic B
Anal Quant Cytol Histol; 1990 Jun; 12(3):165-71. PubMed ID: 2369469
[TBL] [Abstract][Full Text] [Related]
11. Automatic segmentation of echocardiography based on a morphological reconstruction algorithm.
Shen XH; Li DY; Lin JL; Wang TF; Wen XH; Zheng CQ; Rao L; Tang H
Space Med Med Eng (Beijing); 2005 Aug; 18(4):246-50. PubMed ID: 16224844
[TBL] [Abstract][Full Text] [Related]
12. Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snake.
Ko BC; Gim JW; Nam JY
Micron; 2011 Oct; 42(7):695-705. PubMed ID: 21530280
[TBL] [Abstract][Full Text] [Related]
13. Segmentation of transitional cell carcinoma nuclei by nonsupervised thresholding in different color spaces.
Pavlopoulos PM; Zimeras S; Kavantzas N; Korkolopoulou P; Agapitos E; Patsouris E
Anal Quant Cytol Histol; 2007 Aug; 29(4):271-8. PubMed ID: 17879636
[TBL] [Abstract][Full Text] [Related]
14. Cardiac segmentation by a velocity-aided active contour model.
Cho J; Benkeser PJ
Comput Med Imaging Graph; 2006 Jan; 30(1):31-41. PubMed ID: 16378714
[TBL] [Abstract][Full Text] [Related]
15. Efficient, interactive, and three-dimensional segmentation of cell nuclei in thick tissue sections.
Lockett SJ; Sudar D; Thompson CT; Pinkel D; Gray JW
Cytometry; 1998 Apr; 31(4):275-86. PubMed ID: 9551603
[TBL] [Abstract][Full Text] [Related]
16. Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy.
Latson L; Sebek B; Powell KA
Anal Quant Cytol Histol; 2003 Dec; 25(6):321-31. PubMed ID: 14714298
[TBL] [Abstract][Full Text] [Related]
17. A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens.
Mouelhi A; Sayadi M; Fnaiech F; Mrad K; Ben Romdhane K
Comput Biol Med; 2013 Dec; 43(12):2263-77. PubMed ID: 24290943
[TBL] [Abstract][Full Text] [Related]
18. Overlapping cell nuclei segmentation using a spatially adaptive active physical model.
Plissiti ME; Nikou C
IEEE Trans Image Process; 2012 Nov; 21(11):4568-80. PubMed ID: 22752135
[TBL] [Abstract][Full Text] [Related]
19. Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections.
Wählby C; Sintorn IM; Erlandsson F; Borgefors G; Bengtsson E
J Microsc; 2004 Jul; 215(Pt 1):67-76. PubMed ID: 15230877
[TBL] [Abstract][Full Text] [Related]
20. Unsupervised segmentation of overlapped nuclei using Bayesian classification.
Jung C; Kim C; Chae SW; Oh S
IEEE Trans Biomed Eng; 2010 Dec; 57(12):2825-32. PubMed ID: 20656648
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
