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.
208 related articles for article (PubMed ID: 27121383)
41. A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution. Khan AM; Rajpoot N; Treanor D; Magee D IEEE Trans Biomed Eng; 2014 Jun; 61(6):1729-38. PubMed ID: 24845283 [TBL] [Abstract][Full Text] [Related]
42. Computer-assisted quantification of CD3+ T cells in follicular lymphoma. Abas FS; Shana'ah A; Christian B; Hasserjian R; Louissaint A; Pennell M; Sahiner B; Chen W; Niazi MKK; Lozanski G; Gurcan M Cytometry A; 2017 Jun; 91(6):609-621. PubMed ID: 28110507 [TBL] [Abstract][Full Text] [Related]
43. Normalization of HE-stained histological images using cycle consistent generative adversarial networks. Runz M; Rusche D; Schmidt S; Weihrauch MR; Hesser J; Weis CA Diagn Pathol; 2021 Aug; 16(1):71. PubMed ID: 34362386 [TBL] [Abstract][Full Text] [Related]
44. Robust automated tumour segmentation on histological and immunohistochemical tissue images. Wang CW; Fennell D; Paul I; Savage K; Hamilton P PLoS One; 2011 Feb; 6(2):e15818. PubMed ID: 21386898 [TBL] [Abstract][Full Text] [Related]
45. Automatic digital ECG signal extraction and normal QRS recognition from real scene ECG images. Wang S; Zhang S; Li Z; Huang L; Wei Z Comput Methods Programs Biomed; 2020 Apr; 187():105254. PubMed ID: 31830698 [TBL] [Abstract][Full Text] [Related]
46. Common tasks in microscopic and ultrastructural image analysis using ImageJ. Papadopulos F; Spinelli M; Valente S; Foroni L; Orrico C; Alviano F; Pasquinelli G Ultrastruct Pathol; 2007; 31(6):401-7. PubMed ID: 18098058 [TBL] [Abstract][Full Text] [Related]
47. Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology. Salvi M; Michielli N; Molinari F Comput Methods Programs Biomed; 2020 Sep; 193():105506. PubMed ID: 32353672 [TBL] [Abstract][Full Text] [Related]
48. [Novel software-based and validated evaluation method for objective quantification of bone regeneration in experimental bone defects]. Schönberger T; Kasten P; Fechner K; Südkamp NP; Pearce S; Niemeyer P Z Orthop Unfall; 2010 Jan; 148(1):19-25. PubMed ID: 20135589 [TBL] [Abstract][Full Text] [Related]
49. Bright field microscopy as an alternative to whole cell fluorescence in automated analysis of macrophage images. Selinummi J; Ruusuvuori P; Podolsky I; Ozinsky A; Gold E; Yli-Harja O; Aderem A; Shmulevich I PLoS One; 2009 Oct; 4(10):e7497. PubMed ID: 19847301 [TBL] [Abstract][Full Text] [Related]
50. An entropy-based automated cell nuclei segmentation and quantification: application in analysis of wound healing process. Oswal V; Belle A; Diegelmann R; Najarian K Comput Math Methods Med; 2013; 2013():592790. PubMed ID: 23533544 [TBL] [Abstract][Full Text] [Related]
51. An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images. Roy PK; Nguyen UT; Bhuiyan A; Ramamohanarao K Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6324-7. PubMed ID: 25571443 [TBL] [Abstract][Full Text] [Related]
52. Automated quantification of dental plaque accumulation using digital imaging. Carter K; Landini G; Walmsley AD J Dent; 2004 Nov; 32(8):623-8. PubMed ID: 15476956 [TBL] [Abstract][Full Text] [Related]
53. Group sparsity model for stain unmixing in brightfield multiplex immunohistochemistry images. Chen T; Srinivas C Comput Med Imaging Graph; 2015 Dec; 46 Pt 1():30-39. PubMed ID: 25920325 [TBL] [Abstract][Full Text] [Related]
54. Efficient nucleus detector in histopathology images. Vink JP; Van Leeuwen MB; Van Deurzen CH; De Haan G J Microsc; 2013 Feb; 249(2):124-35. PubMed ID: 23252774 [TBL] [Abstract][Full Text] [Related]
55. Development of a multiplex immuno-oncology biomarker and digital pathology workflow for assessment of urothelial carcinoma. Xie Y; Olkhov-Mitsel E; Alminawi S; Slodkowska E; Downes MR Pathol Res Pract; 2021 Oct; 226():153607. PubMed ID: 34509050 [TBL] [Abstract][Full Text] [Related]
56. Quantification of histochemical staining by color deconvolution. Ruifrok AC; Johnston DA Anal Quant Cytol Histol; 2001 Aug; 23(4):291-9. PubMed ID: 11531144 [TBL] [Abstract][Full Text] [Related]
57. 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]
58. 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]
59. Practical considerations of image analysis and quantification of signal transduction IHC staining. Grunkin M; Raundahl J; Foged NT Methods Mol Biol; 2011; 717():143-54. PubMed ID: 21370029 [TBL] [Abstract][Full Text] [Related]
60. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. Senaras C; Niazi MKK; Sahiner B; Pennell MP; Tozbikian G; Lozanski G; Gurcan MN PLoS One; 2018; 13(5):e0196846. PubMed ID: 29742125 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]