159 related articles for article (PubMed ID: 25421287)
1. Automated Selection of Hotspots (ASH): enhanced automated segmentation and adaptive step finding for Ki67 hotspot detection in adrenal cortical cancer.
Lu H; Papathomas TG; van Zessen D; Palli I; de Krijger RR; van der Spek PJ; Dinjens WN; Stubbs AP
Diagn Pathol; 2014 Nov; 9():216. PubMed ID: 25421287
[TBL] [Abstract][Full Text] [Related]
2. Comparison of the methods for measuring the Ki-67 labeling index in adrenocortical carcinoma: manual versus digital image analysis.
Yamazaki Y; Nakamura Y; Shibahara Y; Konosu-Fukaya S; Sato N; Kubota-Nakayama F; Oki Y; Baba S; Midorikawa S; Morimoto R; Satoh F; Sasano H
Hum Pathol; 2016 Jul; 53():41-50. PubMed ID: 26980031
[TBL] [Abstract][Full Text] [Related]
3. An International Ki67 Reproducibility Study in Adrenal Cortical Carcinoma.
Papathomas TG; Pucci E; Giordano TJ; Lu H; Duregon E; Volante M; Papotti M; Lloyd RV; Tischler AS; van Nederveen FH; Nose V; Erickson L; Mete O; Asa SL; Turchini J; Gill AJ; Matias-Guiu X; Skordilis K; Stephenson TJ; Tissier F; Feelders RA; Smid M; Nigg A; Korpershoek E; van der Spek PJ; Dinjens WN; Stubbs AP; de Krijger RR
Am J Surg Pathol; 2016 Apr; 40(4):569-76. PubMed ID: 26685085
[TBL] [Abstract][Full Text] [Related]
4. An adaptive positivity thresholding method for automated Ki67 hotspot detection (AKHoD) in breast cancer biopsies.
Pilutti D; Della Mea V; Pegolo E; La Marra F; Antoniazzi F; Di Loreto C
Comput Med Imaging Graph; 2017 Nov; 61():28-34. PubMed ID: 28499621
[TBL] [Abstract][Full Text] [Related]
5. The region-of-interest size impacts on Ki67 quantification by computer-assisted image analysis in breast cancer.
Christgen M; von Ahsen S; Christgen H; Länger F; Kreipe H
Hum Pathol; 2015 Sep; 46(9):1341-9. PubMed ID: 26206765
[TBL] [Abstract][Full Text] [Related]
6. Analysis of histological and immunohistochemical patterns of benign and malignant adrenocortical tumors by computerized morphometry.
Dalino Ciaramella P; Vertemati M; Petrella D; Bonacina E; Grossrubatscher E; Duregon E; Volante M; Papotti M; Loli P
Pathol Res Pract; 2017 Jul; 213(7):815-823. PubMed ID: 28554744
[TBL] [Abstract][Full Text] [Related]
7. Impact of tissue sampling on accuracy of Ki67 immunohistochemistry evaluation in breast cancer.
Besusparis J; Plancoulaine B; Rasmusson A; Augulis R; Green AR; Ellis IO; Laurinaviciene A; Herlin P; Laurinavicius A
Diagn Pathol; 2016 Aug; 11(1):82. PubMed ID: 27576949
[TBL] [Abstract][Full Text] [Related]
8. Validation of the prognostic role of the "Helsinki Score" in 225 cases of adrenocortical carcinoma.
Duregon E; Cappellesso R; Maffeis V; Zaggia B; Ventura L; Berruti A; Terzolo M; Fassina A; Volante M; Papotti M
Hum Pathol; 2017 Apr; 62():1-7. PubMed ID: 27916625
[TBL] [Abstract][Full Text] [Related]
9. Effect of tumor heterogeneity on the assessment of Ki67 labeling index in well-differentiated neuroendocrine tumors metastatic to the liver: implications for prognostic stratification.
Yang Z; Tang LH; Klimstra DS
Am J Surg Pathol; 2011 Jun; 35(6):853-60. PubMed ID: 21566513
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information.
Khushi M; Edwards G; de Marcos DA; Carpenter JE; Graham JD; Clarke CL
Diagn Pathol; 2013 Feb; 8():22. PubMed ID: 23402499
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. An optimized image analysis algorithm for detecting nuclear signals in digital whole slides for histopathology.
Paulik R; Micsik T; Kiszler G; Kaszál P; Székely J; Paulik N; Várhalmi E; Prémusz V; Krenács T; Molnár B
Cytometry A; 2017 Jun; 91(6):595-608. PubMed ID: 28472544
[TBL] [Abstract][Full Text] [Related]
14. Effects of tissue decalcification on the quantification of breast cancer biomarkers by digital image analysis.
Gertych A; Mohan S; Maclary S; Mohanty S; Wawrowsky K; Mirocha J; Balzer B; Knudsen BS
Diagn Pathol; 2014 Nov; 9():213. PubMed ID: 25421113
[TBL] [Abstract][Full Text] [Related]
15. Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection.
Swiderska-Chadaj Z; Markiewicz T; Grala B; Lorent M
Diagn Pathol; 2016 Oct; 11(1):93. PubMed ID: 27717363
[TBL] [Abstract][Full Text] [Related]
16. Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma.
Laurinavicius A; Plancoulaine B; Rasmusson A; Besusparis J; Augulis R; Meskauskas R; Herlin P; Laurinaviciene A; Abdelhadi Muftah AA; Miligy I; Aleskandarany M; Rakha EA; Green AR; Ellis IO
Virchows Arch; 2016 Apr; 468(4):493-502. PubMed ID: 26818835
[TBL] [Abstract][Full Text] [Related]
17. Comparison between Ki67 labeling index determined using image analysis software with virtual slide system and that determined visually in breast cancer.
Maeda I; Abe K; Koizumi H; Nakajima C; Tajima S; Aoki H; Tsuchiya J; Tsuchiya S; Tsuchiya K; Shimo A; Tsugawa K; Ueno T; Tatsunami S; Takagi M
Breast Cancer; 2016 Sep; 23(5):745-51. PubMed ID: 26271611
[TBL] [Abstract][Full Text] [Related]
18. Objective quantification of the Ki67 proliferative index in neuroendocrine tumors of the gastroenteropancreatic system: a comparison of digital image analysis with manual methods.
Tang LH; Gonen M; Hedvat C; Modlin IM; Klimstra DS
Am J Surg Pathol; 2012 Dec; 36(12):1761-70. PubMed ID: 23026928
[TBL] [Abstract][Full Text] [Related]
19. Clinical Impact of Pathological Features Including the Ki-67 Labeling Index on Diagnosis and Prognosis of Adult and Pediatric Adrenocortical Tumors.
Martins-Filho SN; Almeida MQ; Soares I; Wakamatsu A; Alves VAF; Fragoso MCBV; Zerbini MCN
Endocr Pathol; 2021 Jun; 32(2):288-300. PubMed ID: 33443677
[TBL] [Abstract][Full Text] [Related]
20. Analyzing huge pathology images with open source software.
Deroulers C; Ameisen D; Badoual M; Gerin C; Granier A; Lartaud M
Diagn Pathol; 2013 Jun; 8():92. PubMed ID: 23829479
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]