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 *

129 related articles for article (PubMed ID: 17996861)

  • 1. Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images.
    Daskalakis A; Kostopoulos S; Spyridonos P; Glotsos D; Ravazoula P; Kardari M; Kalatzis I; Cavouras D; Nikiforidis G
    Comput Biol Med; 2008 Feb; 38(2):196-203. PubMed ID: 17996861
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of an Automated Medical Diagnosis System for Classifying Thyroid Tumor Cells using Multiple Classifier Fusion.
    Gopinath B; Shanthi N
    Technol Cancer Res Treat; 2015 Oct; 14(5):653-62. PubMed ID: 24750006
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided diagnosis system for classifying benign and malignant thyroid nodules in multi-stained FNAB cytological images.
    Gopinath B; Shanthi N
    Australas Phys Eng Sci Med; 2013 Jun; 36(2):219-30. PubMed ID: 23690210
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features.
    Georgiadis P; Cavouras D; Kalatzis I; Daskalakis A; Kagadis GC; Sifaki K; Malamas M; Nikiforidis G; Solomou E
    Comput Methods Programs Biomed; 2008 Jan; 89(1):24-32. PubMed ID: 18053610
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems.
    Acharya UR; Vinitha Sree S; Krishnan MM; Molinari F; Garberoglio R; Suri JS
    Ultrasonics; 2012 Apr; 52(4):508-20. PubMed ID: 22154208
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Are signal intensity and homogeneity useful parameters for distinguishing between benign and malignant soft tissue masses on MR images? Objective evaluation by means of texture analysis.
    Mayerhoefer ME; Breitenseher M; Amann G; Dominkus M
    Magn Reson Imaging; 2008 Nov; 26(9):1316-22. PubMed ID: 18448302
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Bayesian classifier for differentiating benign versus malignant thyroid nodules using sonographic features.
    Liu YI; Kamaya A; Desser TS; Rubin DL
    AMIA Annu Symp Proc; 2008 Nov; 2008():419-23. PubMed ID: 18999209
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic terminology and morphologic criteria for cytologic diagnosis of thyroid lesions: a synopsis of the National Cancer Institute Thyroid Fine-Needle Aspiration State of the Science Conference.
    Baloch ZW; LiVolsi VA; Asa SL; Rosai J; Merino MJ; Randolph G; Vielh P; DeMay RM; Sidawy MK; Frable WJ
    Diagn Cytopathol; 2008 Jun; 36(6):425-37. PubMed ID: 18478609
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computer-aided diagnosis of thyroid malignancy using an artificial immune system classification algorithm.
    Delibasis KK; Asvestas PA; Matsopoulos GK; Zoulias E; Tseleni-Balafouta S
    IEEE Trans Inf Technol Biomed; 2009 Sep; 13(5):680-6. PubMed ID: 19273012
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimal classifier fusion in a non-bayesian probabilistic framework.
    Terrades OR; Valveny E; Tabbone S
    IEEE Trans Pattern Anal Mach Intell; 2009 Sep; 31(9):1630-44. PubMed ID: 19574623
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Post-thyroid FNA testing and treatment options: a synopsis of the National Cancer Institute Thyroid Fine Needle Aspiration State of the Science Conference.
    Layfield LJ; Abrams J; Cochand-Priollet B; Evans D; Gharib H; Greenspan F; Henry M; LiVolsi V; Merino M; Michael CW; Wang H; Wells SA
    Diagn Cytopathol; 2008 Jun; 36(6):442-8. PubMed ID: 18478610
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An updated audit of fine needle aspiration cytology procedure of solitary thyroid nodule.
    Bukhari MH; Niazi S; Hanif G; Qureshi SS; Munir M; Hasan M; Naeem S
    Diagn Cytopathol; 2008 Feb; 36(2):104-12. PubMed ID: 18181183
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.
    Chi J; Walia E; Babyn P; Wang J; Groot G; Eramian M
    J Digit Imaging; 2017 Aug; 30(4):477-486. PubMed ID: 28695342
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Utilization of ancillary studies in thyroid fine needle aspirates: a synopsis of the National Cancer Institute Thyroid Fine Needle Aspiration State of the Science Conference.
    Filie AC; Asa SL; Geisinger KR; Logani S; Merino M; Nikiforov YE; Clark DP
    Diagn Cytopathol; 2008 Jun; 36(6):438-41. PubMed ID: 18478603
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Thyroid aspiration cytology: current status.
    Layfield LJ; Cibas ES; Gharib H; Mandel SJ
    CA Cancer J Clin; 2009; 59(2):99-110. PubMed ID: 19278960
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods.
    Georgiadis P; Cavouras D; Kalatzis I; Glotsos D; Athanasiadis E; Kostopoulos S; Sifaki K; Malamas M; Nikiforidis G; Solomou E
    Magn Reson Imaging; 2009 Jan; 27(1):120-30. PubMed ID: 18602785
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Implementation and application of a digital cytopathological lung cancer diagnosing system].
    Wang D; Ye YK; Zhang Y; Gao Y; Yang YB; Zhou Y; Guo AY; Zhao B; Zhu L; Chen SF; Shu ZQ; Qian XQ
    Zhonghua Wai Ke Za Zhi; 2007 Oct; 45(20):1417-9. PubMed ID: 18241598
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.
    Doyle S; Feldman M; Tomaszewski J; Madabhushi A
    IEEE Trans Biomed Eng; 2012 May; 59(5):1205-18. PubMed ID: 20570758
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides.
    Jørgensen AS; Rasmussen AM; Andersen NKM; Andersen SK; Emborg J; Røge R; Østergaard LR
    Cytometry A; 2017 Aug; 91(8):785-793. PubMed ID: 28727286
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Potential of radial basis function neural networks in discriminating benign from malignant lesions of the lower urinary tract.
    Karakitsos P; Pouliakis A; Kordalis G; Georgoulakis J; Kittas C; Kyroudes A
    Anal Quant Cytol Histol; 2005 Feb; 27(1):35-42. PubMed ID: 15794450
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.