Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists
出版年份 2019 全文链接
标题
Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists
作者
关键词
-
出版物
Scientific Reports
Volume 9, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-11-28
DOI
10.1038/s41598-019-54434-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Interobserver Variability of Sonographic Features Used in the American College of Radiology Thyroid Imaging Reporting and Data System
- (2018) Jenny K. Hoang et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound
- (2018) Salvatore Gitto et al. Radiologia Medica
- Sonographic differences between conventional and follicular variant papillary thyroid carcinoma
- (2017) Nicola M. Hughes et al. EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
- Computer-aided system for diagnosing thyroid nodules on ultrasound: A comparison with radiologist-based clinical assessments
- (2017) Luying Gao et al. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
- Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
- (2017) Jianning Chi et al. JOURNAL OF DIGITAL IMAGING
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Diagnosis and Management of Small Thyroid Nodules: A Comparative Study with Six Guidelines for Thyroid Nodules
- (2017) Jung Hyun Yoon et al. RADIOLOGY
- A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment
- (2017) Young Jun Choi et al. THYROID
- A pre-trained convolutional neural network based method for thyroid nodule diagnosis
- (2017) Jinlian Ma et al. ULTRASONICS
- ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee
- (2017) Franklin N. Tessler et al. Journal of the American College of Radiology
- Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations
- (2016) Jung Hee Shin et al. KOREAN JOURNAL OF RADIOLOGY
- Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments
- (2016) Yongjun Chang et al. MEDICAL PHYSICS
- 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
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee
- (2015) Edward G. Grant et al. Journal of the American College of Radiology
- Prospective evaluation of thyroid imaging reporting and data system on 4550 nodules with and without elastography
- (2013) Gilles Russ et al. EUROPEAN JOURNAL OF ENDOCRINOLOGY
- The Accuracy of Thyroid Nodule Ultrasound to Predict Thyroid Cancer: Systematic Review and Meta-Analysis
- (2013) Juan P. Brito et al. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
- A Review on Ultrasound-Based Thyroid Cancer Tissue Characterization and Automated Classification
- (2013) U. Rajendra Acharya et al. TECHNOLOGY IN CANCER RESEARCH & TREATMENT
- Risk of Thyroid Cancer Based on Thyroid Ultrasound Imaging Characteristics
- (2013) Rebecca Smith-Bindman et al. JAMA Internal Medicine
- Characterization of thyroid nodules using the proposed thyroid imaging reporting and data system (TI-RADS)
- (2012) Shih-Ping Cheng et al. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
- Interobserver Variability and Diagnostic Performance in US Assessment of Thyroid Nodule According to Size
- (2012) S. Park et al. ULTRASCHALL IN DER MEDIZIN
- ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform
- (2011) U. Rajendra Acharya et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk
- (2011) Jin Young Kwak et al. RADIOLOGY
- Interobserver and Intraobserver Variations in Ultrasound Assessment of Thyroid Nodules
- (2009) Seon Hyeong Choi et al. THYROID
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started