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.
231 related articles for article (PubMed ID: 28230179)
1. Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method. Irshad H; Oh EY; Schmolze D; Quintana LM; Collins L; Tamimi RM; Beck AH Sci Rep; 2017 Feb; 7():43286. PubMed ID: 28230179 [TBL] [Abstract][Full Text] [Related]
2. Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd. Irshad H; Montaser-Kouhsari L; Waltz G; Bucur O; Nowak JA; Dong F; Knoblauch NW; Beck AH Pac Symp Biocomput; 2015; ():294-305. PubMed ID: 25592590 [TBL] [Abstract][Full Text] [Related]
3. Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring. Rizzardi AE; Johnson AT; Vogel RI; Pambuccian SE; Henriksen J; Skubitz AP; Metzger GJ; Schmechel SC Diagn Pathol; 2012 Jun; 7():42. PubMed ID: 22515559 [TBL] [Abstract][Full Text] [Related]
4. Study on breast carcinoma Her2/neu and hormonal receptors status assessed by automated images analysis systems: ACIS III (Dako) and ScanScope (Aperio). Słodkowska J; Filas V; Buszkiewicz E; Trzeciak P; Wojciechowski M; Koktysz R; Staniszewski W; Breborowicz J; Rojo MG Folia Histochem Cytobiol; 2010 Jan; 48(1):19-25. PubMed ID: 20529811 [TBL] [Abstract][Full Text] [Related]
5. HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues. Qaiser T; Mukherjee A; Reddy Pb C; Munugoti SD; Tallam V; Pitkäaho T; Lehtimäki T; Naughton T; Berseth M; Pedraza A; Mukundan R; Smith M; Bhalerao A; Rodner E; Simon M; Denzler J; Huang CH; Bueno G; Snead D; Ellis IO; Ilyas M; Rajpoot N Histopathology; 2018 Jan; 72(2):227-238. PubMed ID: 28771788 [TBL] [Abstract][Full Text] [Related]
6. MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images. Mungle T; Tewary S; Das DK; Arun I; Basak B; Agarwal S; Ahmed R; Chatterjee S; Chakraborty C J Microsc; 2017 Aug; 267(2):117-129. PubMed ID: 28319275 [TBL] [Abstract][Full Text] [Related]
7. Pixelwise H-score: A novel digital image analysis-based metric to quantify membrane biomarker expression from immunohistochemistry images. Ram S; Vizcarra P; Whalen P; Deng S; Painter CL; Jackson-Fisher A; Pirie-Shepherd S; Xia X; Powell EL PLoS One; 2021; 16(9):e0245638. PubMed ID: 34570796 [TBL] [Abstract][Full Text] [Related]
8. Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays. Lawson J; Robinson-Vyas RJ; McQuillan JP; Paterson A; Christie S; Kidza-Griffiths M; McDuffus LA; Moutasim KA; Shaw EC; Kiltie AE; Howat WJ; Hanby AM; Thomas GJ; Smittenaar P Br J Cancer; 2017 Jan; 116(2):237-245. PubMed ID: 27959886 [TBL] [Abstract][Full Text] [Related]
9. A robust automated measure of average antibody staining in immunohistochemistry images. Choudhury KR; Yagle KJ; Swanson PE; Krohn KA; Rajendran JG J Histochem Cytochem; 2010 Feb; 58(2):95-107. PubMed ID: 19687472 [TBL] [Abstract][Full Text] [Related]
10. IHC Profiler: an open source plugin for the quantitative evaluation and automated scoring of immunohistochemistry images of human tissue samples. Varghese F; Bukhari AB; Malhotra R; De A PLoS One; 2014; 9(5):e96801. PubMed ID: 24802416 [TBL] [Abstract][Full Text] [Related]
11. Preliminary results from a crowdsourcing experiment in immunohistochemistry. Della Mea V; Maddalena E; Mizzaro S; Machin P; Beltrami CA Diagn Pathol; 2014; 9 Suppl 1(Suppl 1):S6. PubMed ID: 25565010 [TBL] [Abstract][Full Text] [Related]
12. Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Data Set Labeling: Prospective Analysis. Duggan NM; Jin M; Duran Mendicuti MA; Hallisey S; Bernier D; Selame LA; Asgari-Targhi A; Fischetti CE; Lucassen R; Samir AE; Duhaime E; Kapur T; Goldsmith AJ J Med Internet Res; 2024 Jul; 26():e51397. PubMed ID: 38963923 [TBL] [Abstract][Full Text] [Related]
13. AutoIHC-scoring: a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue. Tewary S; Arun I; Ahmed R; Chatterjee S; Chakraborty C J Microsc; 2017 Nov; 268(2):172-185. PubMed ID: 28613390 [TBL] [Abstract][Full Text] [Related]
14. Quantification of protein expression in cells and cellular subcompartments on immunohistochemical sections using a computer supported image analysis system. Braun M; Kirsten R; Rupp NJ; Moch H; Fend F; Wernert N; Kristiansen G; Perner S Histol Histopathol; 2013 May; 28(5):605-10. PubMed ID: 23361561 [TBL] [Abstract][Full Text] [Related]
15. A high-throughput strategy for protein profiling in cell microarrays using automated image analysis. Strömberg S; Björklund MG; Asplund C; Sköllermo A; Persson A; Wester K; Kampf C; Nilsson P; Andersson AC; Uhlen M; Kononen J; Ponten F; Asplund A Proteomics; 2007 Jun; 7(13):2142-50. PubMed ID: 17549799 [TBL] [Abstract][Full Text] [Related]
16. HER2 amplification status in breast cancer: a comparison between immunohistochemical staining and fluorescence in situ hybridisation using manual and automated quantitative image analysis scoring techniques. Ellis CM; Dyson MJ; Stephenson TJ; Maltby EL J Clin Pathol; 2005 Jul; 58(7):710-4. PubMed ID: 15976337 [TBL] [Abstract][Full Text] [Related]