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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

870 related articles for article (PubMed ID: 30337080)

  • 41. Computer-assisted immunocytochemical determination of breast cancer steroid receptors on cytological smears of excised surgical specimens compared with frozen sections.
    Cavaliere A; Sidoni A; Ferri I; Vitali R; Bucciarelli E
    Cytometry; 1999 Dec; 38(6):301-5. PubMed ID: 10589046
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Automatic nuclei segmentation in H&E stained breast cancer histopathology images.
    Veta M; van Diest PJ; Kornegoor R; Huisman A; Viergever MA; Pluim JP
    PLoS One; 2013; 8(7):e70221. PubMed ID: 23922958
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma.
    Salvi M; Molinari F; Dogliani N; Bosco M
    Comput Biol Med; 2019 Jul; 110():8-14. PubMed ID: 31102922
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images.
    Shu J; Liu J; Zhang Y; Fu H; Ilyas M; Faraci G; Della Mea V; Liu B; Qiu G
    Bioinformatics; 2020 May; 36(10):3225-3233. PubMed ID: 32073624
    [TBL] [Abstract][Full Text] [Related]  

  • 45. 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]  

  • 46. Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal.
    Martos O; Hoque MZ; Keskinarkaus A; Kemi N; Näpänkangas J; Eskuri M; Pohjanen VM; Kauppila JH; Seppänen T
    Pathol Res Pract; 2023 Aug; 248():154694. PubMed ID: 37494804
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Robust Cell Detection and Segmentation for Image Cytometry Reveal Th17 Cell Heterogeneity.
    Tsujikawa T; Thibault G; Azimi V; Sivagnanam S; Banik G; Means C; Kawashima R; Clayburgh DR; Gray JW; Coussens LM; Chang YH
    Cytometry A; 2019 Apr; 95(4):389-398. PubMed ID: 30714674
    [TBL] [Abstract][Full Text] [Related]  

  • 48. 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]  

  • 49. A new immunohistochemical ER/PR image analysis system: a multisite performance study.
    Nassar A; Cohen C; Agersborg SS; Zhou W; Lynch KA; Heyman ER; Olson A; Lange H; Siddiqui MT
    Appl Immunohistochem Mol Morphol; 2011 May; 19(3):195-202. PubMed ID: 21217524
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Objective measurement of breast cancer oestrogen receptor status through digital image analysis.
    Mofidi R; Walsh R; Ridgway PF; Crotty T; McDermott EW; Keaveny TV; Duffy MJ; Hill AD; O'Higgins N
    Eur J Surg Oncol; 2003 Feb; 29(1):20-4. PubMed ID: 12559071
    [TBL] [Abstract][Full Text] [Related]  

  • 51. A multisite performance study comparing the reading of immunohistochemical slides on a computer monitor with conventional manual microscopy for estrogen and progesterone receptor analysis.
    Nassar A; Cohen C; Agersborg SS; Zhou W; Lynch KA; Barker EA; Vanderbilt BL; Thompson J; Heyman ER; Olson A; Lange H; Siddiqui MT
    Am J Clin Pathol; 2011 Mar; 135(3):461-7. PubMed ID: 21350103
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Cytometrical image analysis for immunohistochemical hormone receptor status in breast carcinomas.
    Hatanaka Y; Hashizume K; Nitta K; Kato T; Itoh I; Tani Y
    Pathol Int; 2003 Oct; 53(10):693-9. PubMed ID: 14516320
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Automated characterization and counting of Ki-67 protein for breast cancer prognosis: A quantitative immunohistochemistry approach.
    Mungle T; Tewary S; Arun I; Basak B; Agarwal S; Ahmed R; Chatterjee S; Maity AK; Chakraborty C
    Comput Methods Programs Biomed; 2017 Feb; 139():149-161. PubMed ID: 28187885
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Robust and automated three-dimensional segmentation of densely packed cell nuclei in different biological specimens with Lines-of-Sight decomposition.
    Mathew B; Schmitz A; Muñoz-Descalzo S; Ansari N; Pampaloni F; Stelzer EH; Fischer SC
    BMC Bioinformatics; 2015 Jun; 16():187. PubMed ID: 26049713
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Generating region proposals for histopathological whole slide image retrieval.
    Ma Y; Jiang Z; Zhang H; Xie F; Zheng Y; Shi H; Zhao Y; Shi J
    Comput Methods Programs Biomed; 2018 Jun; 159():1-10. PubMed ID: 29650303
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Computer-aided detection of breast cancer nuclei.
    Schnorrenberg F; Pattichis CS; Kyriacou KC; Schizas CN
    IEEE Trans Inf Technol Biomed; 1997 Jun; 1(2):128-40. PubMed ID: 11020815
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Immunohistochemical assessment of hormone receptor status using a new scoring system (J-Score) in breast cancer.
    Kurosumi M
    Breast Cancer; 2007; 14(2):189-93. PubMed ID: 17485905
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Medical breast ultrasound image segmentation by machine learning.
    Xu Y; Wang Y; Yuan J; Cheng Q; Wang X; Carson PL
    Ultrasonics; 2019 Jan; 91():1-9. PubMed ID: 30029074
    [TBL] [Abstract][Full Text] [Related]  

  • 59. 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]  

  • 60. The Quantitative ER Immunohistochemical Analysis in Breast Cancer: Detecting the 3 + 0, 4 + 0, and 5 + 0 Allred Score Cases.
    Ilić IR; Stojanović NM; Radulović NS; Živković VV; Randjelović PJ; Petrović AS; Božić M; Ilić RS
    Medicina (Kaunas); 2019 Aug; 55(8):. PubMed ID: 31405154
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 44.