395 related articles for article (PubMed ID: 14714298)
1. 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]
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. Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides.
Jørgensen AS; Rasmussen AM; Andersen NKM; Andersen SK; Emborg J; Røge R; Østergaard LR
Cytometry A; 2017 Aug; 91(8):785-793. PubMed ID: 28727286
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Segmentation of Heavily Clustered Nuclei from Histopathological Images.
Abdolhoseini M; Kluge MG; Walker FR; Johnson SJ
Sci Rep; 2019 Mar; 9(1):4551. PubMed ID: 30872619
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry.
Schüpp S; Elmoataz A; Herlin P; Bloyet D
Anal Quant Cytol Histol; 2001 Aug; 23(4):257-67. PubMed ID: 11531140
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.
Fatakdawala H; Xu J; Basavanhally A; Bhanot G; Ganesan S; Feldman M; Tomaszewski JE; Madabhushi A
IEEE Trans Biomed Eng; 2010 Jul; 57(7):1676-89. PubMed ID: 20172780
[TBL] [Abstract][Full Text] [Related]
11. Automation-assisted cervical cancer screening in manual liquid-based cytology with hematoxylin and eosin staining.
Zhang L; Kong H; Ting Chin C; Liu S; Fan X; Wang T; Chen S
Cytometry A; 2014 Mar; 85(3):214-30. PubMed ID: 24376056
[TBL] [Abstract][Full Text] [Related]
12. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma.
Feng M; Deng Y; Yang L; Jing Q; Zhang Z; Xu L; Wei X; Zhou Y; Wu D; Xiang F; Wang Y; Bao J; Bu H
Diagn Pathol; 2020 May; 15(1):65. PubMed ID: 32471471
[TBL] [Abstract][Full Text] [Related]
13. Automated image morphometry of lobular breast carcinoma.
Rajesh L; Dey P; Joshi K
Anal Quant Cytol Histol; 2002 Apr; 24(2):81-4. PubMed ID: 12026054
[TBL] [Abstract][Full Text] [Related]
14. Breast histopathology image segmentation using spatio-colour-texture based graph partition method.
Belsare AD; Mushrif MM; Pangarkar MA; Meshram N
J Microsc; 2016 Jun; 262(3):260-73. PubMed ID: 26708167
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images.
Chen JM; Qu AP; Wang LW; Yuan JP; Yang F; Xiang QM; Maskey N; Yang GF; Liu J; Li Y
Sci Rep; 2015 May; 5():10690. PubMed ID: 26022540
[TBL] [Abstract][Full Text] [Related]
17. Computer-based association of the texture of expressed estrogen receptor nuclei with histologic grade using immunohistochemically-stained breast carcinomas.
Kostopoulos S; Glotsos D; Cavouras D; Daskalakis A; Kalatzis I; Georgiadis P; Bougioukos P; Ravazoula P; Nikiforidis G
Anal Quant Cytol Histol; 2009 Aug; 31(4):187-96. PubMed ID: 19736866
[TBL] [Abstract][Full Text] [Related]
18. Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images.
Salvi M; Molinari F
Biomed Eng Online; 2018 Jun; 17(1):89. PubMed ID: 29925379
[TBL] [Abstract][Full Text] [Related]
19. Quantitative study of breast cancer progression: different pathways for various in situ cancers.
Mariuzzi L; Mombello A; Granchelli G; Rucco V; Tarocco E; Frank D; Davis J; Thompson D; Bartels H; Mariuzzi GM; Bartels PH
Mod Pathol; 2002 Jan; 15(1):18-25. PubMed ID: 11796837
[TBL] [Abstract][Full Text] [Related]
20. Quantitative morphometry by image analysis of normal, hyperplastic and cancerous ductal breasts.
Gao J; McNutt MA; Yi W; Chen J; Gu J
Anal Quant Cytol Histol; 2009 Oct; 31(5):255-61. PubMed ID: 20701091
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
