Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training
出版年份 2020 全文链接
标题
Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training
作者
关键词
-
出版物
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-02-17
DOI
10.1007/s00330-019-06652-4
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。- Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
- (2019) Shelly Soffer et al. RADIOLOGY
- Deep convolutional neural network models for the diagnosis of thyroid cancer
- (2019) Eun Ju Ha et al. LANCET ONCOLOGY
- Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT
- (2019) Jeong Hoon Lee et al. EUROPEAN RADIOLOGY
- Real-World Performance of Computer-Aided Diagnosis System for Thyroid Nodules Using Ultrasonography
- (2019) Hye Lin Kim et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Deep Learning in Radiology
- (2018) Morgan P. McBee et al. ACADEMIC RADIOLOGY
- Value of CT added to ultrasonography for the diagnosis of lymph node metastasis in patients with thyroid cancer
- (2018) Younghen Lee et al. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
- Computer-Aided Diagnosis of Thyroid Nodules via Ultrasonography: Initial Clinical Experience
- (2018) Young Jin Yoo et al. KOREAN JOURNAL OF RADIOLOGY
- Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
- (2018) Seong Ho Park et al. RADIOLOGY
- Machine Learning in Medical Imaging
- (2018) Maryellen L. Giger Journal of the American College of Radiology
- Demystification of AI-driven medical image interpretation: past, present and future
- (2018) Peter Savadjiev et al. EUROPEAN RADIOLOGY
- Computer-aided diagnosis system for thyroid nodules on ultrasonography: diagnostic performance and reproducibility based on the experience level of operators
- (2018) Eun Young Jeong et al. EUROPEAN 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
- Performance of CT in the Preoperative Diagnosis of Cervical Lymph Node Metastasis in Patients with Papillary Thyroid Cancer: A Systematic Review and Meta-Analysis
- (2016) C.H. Suh et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: What is new and what has changed?
- (2016) Bryan R. Haugen CANCER
- 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
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started