Application of machine learning to ultrasound images to differentiate follicular neoplasms of the thyroid gland

Ultrasonographic features for differentiating follicular thyroid carcinoma and follicular adenoma

(2019) Ting-Chun Kuo et al.   Asian Journal of Surgery

Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?

(2018) Martina Sollini et al.   EUROPEAN JOURNAL OF RADIOLOGY

Predicting Malignancy in Thyroid Nodules: Radiomics Score versus 2017 American College of Radiology (ACR) Thyroid Imaging, Reporting and Data System (TI-RADS)

(2018) Jin-yu Liang et al.   THYROID

Computer-aided diagnosis of malignant or benign thyroid nodes based on ultrasound images

(2017) Qin Yu et al.   EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

Interobserver agreement of various thyroid imaging reporting and data systems

(2017) Giorgio Grani et al.   Endocrine Connections

Classifier Model Based on Machine Learning Algorithms: Application to Differential Diagnosis of Suspicious Thyroid Nodules via Sonography

(2016) Hongxun Wu et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Quantitative Evaluation for Differentiating Malignant and Benign Thyroid Nodules Using Histogram Analysis of Grayscale Sonograms

(2016) Se Jin Nam et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer

(2016) Bryan R. Haugen et al.   THYROID

Variability in Interpretation of Ultrasound Elastography and Gray-Scale Ultrasound in Assessing Thyroid Nodules

(2016) Jieun Koh et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Clinical Presentation of Patients with a Thyroid Follicular Neoplasm: Are there Preoperative Predictors of Malignancy?

(2015) Alireza Najafian et al.   ANNALS OF SURGICAL ONCOLOGY

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

The role of core needle biopsy in the preoperative diagnosis of follicular neoplasm of the thyroid

(2014) Hye Sook Min et al.   APMIS

Sonographic Features of Thyroid Follicular Carcinoma in Comparison With Thyroid Follicular Adenoma

(2014) Ji-Zhen Zhang et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Better Understanding in the Differentiation of Thyroid Follicular Adenoma, Follicular Carcinoma, and Follicular Variant of Papillary Carcinoma: A Retrospective Study

(2014) Jung Hyun Yoon et al.   International Journal of Endocrinology

The Bethesda System for Reporting Thyroid Cytopathology: A Meta-Analysis

(2012) Massimo Bongiovanni et al.   ACTA CYTOLOGICA

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Follicular Adenoma and Carcinoma of the Thyroid Gland

(2011) C. R. McHenry et al.   ONCOLOGIST

Thyroid Follicular Carcinoma: Sonographic Features of 50 Cases

(2009) John C. Sillery et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Clinical and Ultrasound Features of Cytology Diagnosed Follicular Neoplasm

(2009) Yoon Jung CHOI et al.   ENDOCRINE JOURNAL

Interobserver and Intraobserver Variations in Ultrasound Assessment of Thyroid Nodules

(2009) Seon Hyeong Choi et al.   THYROID

Computer-Aided Diagnosis for the Differentiation of Malignant from Benign Thyroid Nodules on Ultrasonography

(2008) Kyoung Ja Lim et al.   ACADEMIC RADIOLOGY

Risk of Malignancy in Patients With Follicular Neoplasm

(2008) Nese Ersoz Gulcelik et al.   ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY

Benign and Malignant Thyroid Nodules: US Differentiation—Multicenter Retrospective Study

(2008) Won-Jin Moon et al.   RADIOLOGY