ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform
- 4 November 2011
- journal article
- Published by Elsevier BV in Computer Methods and Programs in Biomedicine
- Vol. 107 (2), 233-241
- https://doi.org/10.1016/j.cmpb.2011.10.001
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Study of normal ocular thermogram using textural parametersInfrared Physics & Technology, 2010
- Role of ultrasound in the assessment of nodular thyroid diseaseJournal of Medical Imaging and Radiation Oncology, 2009
- Characterization of the Major Histopathological Components of Thyroid Nodules Using Sonographic Textural Features for Clinical Diagnosis and ManagementJapanese Journal of Clinical Oncology, 2009
- Hürthle Cell Neoplasms of the ThyroidJournal of Ultrasound in Medicine, 2008
- Vascularisation of Benign and Malignant Thyroid Nodules: CD US EvaluationUltraschall in der Medizin - European Journal of Ultrasound, 2007
- Qualitative and quantitative evaluation of solitary thyroid nodules with contrast-enhanced ultrasound: initial resultsEuropean Radiology, 2006
- Evaluation of the Thyroid NoduleCancer Control, 2006
- Texture analysis of medical imagesClinical Radiology, 2004
- Diagnosis of “follicular neoplasm”: A gray zone in thyroid fine‐needle aspiration cytologyDiagnostic Cytopathology, 2002
- Diagnostic pitfalls in thyroid fine‐needle aspiration: A review of 394 casesDiagnostic Cytopathology, 1993