These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
260 related articles for article (PubMed ID: 32578891)
1. Automated assessment of Ki-67 in breast cancer: the utility of digital image analysis using virtual triple staining and whole slide imaging. Hida AI; Omanovic D; Pedersen L; Oshiro Y; Ogura T; Nomura T; Kurebayashi J; Kanomata N; Moriya T Histopathology; 2020 Sep; 77(3):471-480. PubMed ID: 32578891 [TBL] [Abstract][Full Text] [Related]
2. Automated imaging analysis of Ki-67 immunohistochemistry on whole slide images of cell blocks from pancreatic neuroendocrine neoplasms. Shaker N; Shen R; Limbach AL; Satturwar S; Kobalka P; Ahmadian S; Sun S; Chen W; Lujan G; Esnakula A; Parwani A; Li Z J Am Soc Cytopathol; 2024; 13(3):205-212. PubMed ID: 38433072 [TBL] [Abstract][Full Text] [Related]
3. A Comparison of Visual Assessment and Automated Digital Image Analysis of Ki67 Labeling Index in Breast Cancer. Zhong F; Bi R; Yu B; Yang F; Yang W; Shui R PLoS One; 2016; 11(2):e0150505. PubMed ID: 26928407 [TBL] [Abstract][Full Text] [Related]
4. Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer. Ács B; Madaras L; Kovács KA; Micsik T; Tőkés AM; Győrffy B; Kulka J; Szász AM Pathol Oncol Res; 2018 Jan; 24(1):115-127. PubMed ID: 28401450 [TBL] [Abstract][Full Text] [Related]
5. Prognostic potential of automated Ki67 evaluation in breast cancer: different hot spot definitions versus true global score. Robertson S; Acs B; Lippert M; Hartman J Breast Cancer Res Treat; 2020 Aug; 183(1):161-175. PubMed ID: 32572716 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Invasive lobular carcinoma of the breast: assessment of proliferative activity using automated Ki-67 immunostaining. Dessauvagie B; Thomas A; Thomas C; Robinson C; Combrink M; Budhavaram V; Kunjuraman B; Meehan K; Sterrett G; Harvey J Pathology; 2019 Dec; 51(7):681-687. PubMed ID: 31630876 [TBL] [Abstract][Full Text] [Related]
8. Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium. Konsti J; Lundin M; Linder N; Haglund C; Blomqvist C; Nevanlinna H; Aaltonen K; Nordling S; Lundin J Diagn Pathol; 2012 Mar; 7():29. PubMed ID: 22436596 [TBL] [Abstract][Full Text] [Related]
9. A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue. Laurinavicius A; Plancoulaine B; Laurinaviciene A; Herlin P; Meskauskas R; Baltrusaityte I; Besusparis J; Dasevicius D; Elie N; Iqbal Y; Bor C Breast Cancer Res; 2014; 16(2):R35. PubMed ID: 24708745 [TBL] [Abstract][Full Text] [Related]
10. Comparison of visual assessment and image analysis in the evaluation of Ki-67 expression and their prognostic significance in immunohistochemically defined luminal breast carcinoma. Arihiro K; Oda M; Ohara M; Kadoya T; Osaki A; Nishisaka T; Shiroma N; Kobayashi Y Jpn J Clin Oncol; 2016 Dec; 46(12):1081-1087. PubMed ID: 27511992 [TBL] [Abstract][Full Text] [Related]
11. Sequential immunohistochemistry and virtual image reconstruction using a single slide for quantitative KI67 measurement in breast cancer. Serna G; Simonetti S; Fasani R; Pagliuca F; Guardia X; Gallego P; Jimenez J; Peg V; Saura C; Eppenberger-Castori S; Ramon Y Cajal S; Terracciano L; Nuciforo P Breast; 2020 Oct; 53():102-110. PubMed ID: 32707454 [TBL] [Abstract][Full Text] [Related]
12. Digital image analysis of Ki67 proliferation index in breast cancer using virtual dual staining on whole tissue sections: clinical validation and inter-platform agreement. Koopman T; Buikema HJ; Hollema H; de Bock GH; van der Vegt B Breast Cancer Res Treat; 2018 May; 169(1):33-42. PubMed ID: 29349710 [TBL] [Abstract][Full Text] [Related]
13. Digital quantification of KI-67 in breast cancer. Del Rosario Taco Sanchez M; Soler-Monsó T; Petit A; Azcarate J; Lasheras A; Artal C; Gil M; Falo C; Pla MJ; Matias-Guiu X Virchows Arch; 2019 Feb; 474(2):169-176. PubMed ID: 30465110 [TBL] [Abstract][Full Text] [Related]
14. A simple digital image analysis system for automated Ki67 assessment in primary breast cancer. Alataki A; Zabaglo L; Tovey H; Dodson A; Dowsett M Histopathology; 2021 Aug; 79(2):200-209. PubMed ID: 33590538 [TBL] [Abstract][Full Text] [Related]
15. Proliferation assessment in breast carcinomas using digital image analysis based on virtual Ki67/cytokeratin double staining. Røge R; Riber-Hansen R; Nielsen S; Vyberg M Breast Cancer Res Treat; 2016 Jul; 158(1):11-19. PubMed ID: 27283833 [TBL] [Abstract][Full Text] [Related]
16. ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67. Tuominen VJ; Ruotoistenmäki S; Viitanen A; Jumppanen M; Isola J Breast Cancer Res; 2010; 12(4):R56. PubMed ID: 20663194 [TBL] [Abstract][Full Text] [Related]
17. Automated quantification of proliferation with automated hot-spot selection in phosphohistone H3/MART1 dual-stained stage I/II melanoma. Nielsen PS; Riber-Hansen R; Schmidt H; Steiniche T Diagn Pathol; 2016 Apr; 11():35. PubMed ID: 27062658 [TBL] [Abstract][Full Text] [Related]
18. Practical approaches to automated digital image analysis of Ki-67 labeling index in 997 breast carcinomas and causes of discordance with visual assessment. Kwon AY; Park HY; Hyeon J; Nam SJ; Kim SW; Lee JE; Yu JH; Lee SK; Cho SY; Cho EY PLoS One; 2019; 14(2):e0212309. PubMed ID: 30785924 [TBL] [Abstract][Full Text] [Related]
19. Practical issues concerning the implementation of Ki-67 proliferative index measurement in breast cancer reporting. Harvey J; Thomas C; Wood B; Hardie M; Dessauvagie B; Combrinck M; Frost FA; Sterrett G Pathology; 2015 Jan; 47(1):13-20. PubMed ID: 25474507 [TBL] [Abstract][Full Text] [Related]
20. Ki 67 assessment in breast cancer in an Egyptian population: a comparative study between manual assessment on optical microscopy and digital quantitative assessment. Ayad E; Soliman A; Anis SE; Salem AB; Hu P; Dong Y Diagn Pathol; 2018 Aug; 13(1):63. PubMed ID: 30153851 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]