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 *

426 related articles for article (PubMed ID: 28472544)

  • 1. 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]  

  • 2. Simultaneous automatic scoring and co-registration of hormone receptors in tumor areas in whole slide images of breast cancer tissue slides.
    Trahearn N; Tsang YW; Cree IA; Snead D; Epstein D; Rajpoot N
    Cytometry A; 2017 Jun; 91(6):585-594. PubMed ID: 28009468
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantitative tumor heterogeneity assessment on a nuclear population basis.
    Wessel Lindberg AS; Conradsen K; Larsen R; Friis Lippert M; Røge R; Vyberg M
    Cytometry A; 2017 Jun; 91(6):574-584. PubMed ID: 28141908
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Technical note on the validation of a semi-automated image analysis software application for estrogen and progesterone receptor detection in breast cancer.
    Krecsák L; Micsik T; Kiszler G; Krenács T; Szabó D; Jónás V; Császár G; Czuni L; Gurzó P; Ficsor L; Molnár B
    Diagn Pathol; 2011 Jan; 6():6. PubMed ID: 21244664
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Comparison of immunohistochemistry with PCR for assessment of ER, PR, and Ki-67 and prediction of pathological complete response in breast cancer.
    Sinn HP; Schneeweiss A; Keller M; Schlombs K; Laible M; Seitz J; Lakis S; Veltrup E; Altevogt P; Eidt S; Wirtz RM; Marmé F
    BMC Cancer; 2017 Feb; 17(1):124. PubMed ID: 28193205
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-automated imaging system to quantitate estrogen and progesterone receptor immunoreactivity in human breast cancer.
    Sharangpani GM; Joshi AS; Porter K; Deshpande AS; Keyhani S; Naik GA; Gholap AS; Barsky SH
    J Microsc; 2007 Jun; 226(Pt 3):244-55. PubMed ID: 17535263
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.
    Valkonen M; Isola J; Ylinen O; Muhonen V; Saxlin A; Tolonen T; Nykter M; Ruusuvuori P
    IEEE Trans Med Imaging; 2020 Feb; 39(2):534-542. PubMed ID: 31398111
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring the spatial dimension of estrogen and progesterone signaling: detection of nuclear labeling in lobular epithelial cells in normal mammary glands adjacent to breast cancer.
    Grote A; Abbas M; Linder N; Kreipe HH; Lundin J; Feuerhake F
    Diagn Pathol; 2014; 9 Suppl 1(Suppl 1):S11. PubMed ID: 25565114
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.
    Mouelhi A; Rmili H; Ali JB; Sayadi M; Doghri R; Mrad K
    Comput Methods Programs Biomed; 2018 Oct; 165():37-51. PubMed ID: 30337080
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Continuous measurement of breast tumour hormone receptor expression: a comparison of two computational pathology platforms.
    Ahern TP; Beck AH; Rosner BA; Glass B; Frieling G; Collins LC; Tamimi RM
    J Clin Pathol; 2017 May; 70(5):428-434. PubMed ID: 27729430
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 expression in breast cancer FNA cell blocks and paired histologic specimens: A large retrospective study.
    Vohra P; Buelow B; Chen YY; Serrano M; Vohra MS; Berry A; Ljung BM
    Cancer Cytopathol; 2016 Nov; 124(11):828-835. PubMed ID: 27315045
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. External quality assessment (EQA) program for the immunohistochemical detection of ER, PR and Ki-67 in breast cancer: results of an interlaboratory reproducibility ring study in China.
    Pu T; Shui R; Shi J; Liang Z; Yang W; Bu H; Li Q; Zhang Z;
    BMC Cancer; 2019 Oct; 19(1):978. PubMed ID: 31640622
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics.
    Abele N; Tiemann K; Krech T; Wellmann A; Schaaf C; Länger F; Peters A; Donner A; Keil F; Daifalla K; Mackens M; Mamilos A; Minin E; Krümmelbein M; Krause L; Stark M; Zapf A; Päpper M; Hartmann A; Lang T
    Mod Pathol; 2023 Mar; 36(3):100033. PubMed ID: 36931740
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effectiveness of computer-aided diagnosis (CADx) of breast pathology using immunohistochemistry results of core needle biopsy samples for synaptophysin, oestrogen receptor and CK14/p63 for classification of epithelial proliferative lesions of the breast.
    Maeda I; Kubota M; Ohta J; Shinno K; Tajima S; Ariizumi Y; Doi M; Oana Y; Kanemaki Y; Tsugawa K; Ueno T; Takagi M
    J Clin Pathol; 2017 Dec; 70(12):1057-1062. PubMed ID: 28630050
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 22.