A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images

Deep learning prediction of axillary lymph node status using ultrasound images

(2022) Shawn Sun et al.   COMPUTERS IN BIOLOGY AND MEDICINE

GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images

(2022) Jintao Lu et al.   IEEE Journal of Biomedical and Health Informatics

Predictions for Central Lymph Node Metastasis of Papillary Thyroid Carcinoma via CNN-Based Fusion Modeling of Ultrasound Images

(2021) Yong Chen et al.   Traitement du Signal

Advanced thyroid carcinomas: neural network analysis of ultrasonographic characteristics

(2021) Michael Cordes et al.   Thyroid Research

Radiomics signature for prediction of lateral lymph node metastasis in conventional papillary thyroid carcinoma

(2020) Vivian Y. Park et al.   PLoS One

Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images

(2020) Hui Zhou et al.   EUROPEAN JOURNAL OF RADIOLOGY

A Comparative Analysis of Two Machine Learning-based Diagnostic Patterns with ACR TI-RADS for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate

(2020) Chong-Ke Zhao et al.   THYROID

A multiple‐channel and atrous convolution network for ultrasound image segmentation

(2020) Lun Zhang et al.   MEDICAL PHYSICS

Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

(2020) Jinhua Yu et al.   Nature Communications

Deep Learning in Medical Ultrasound Analysis: A Review

(2019) Shengfeng Liu et al.   Engineering

Thyroid nodules classification and diagnosis in ultrasound images using fine‐tuning deep convolutional neural network

(2019) Olfa Moussa et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Artificial Intelligence-Based Thyroid Nodule Classification Using Information from Spatial and Frequency Domains

(2019) Dat Tien Nguyen et al.   Journal of Clinical Medicine

Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks

(2019) Tianjiao Liu et al.   MEDICAL IMAGE ANALYSIS

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning

(2019) Li-Qiang Zhou et al.   RADIOLOGY

Visualizing and evaluating wetting in membrane distillation: New methodology and indicators based on Detection of Dissolved Tracer Intrusion (DDTI)

(2018) Paul Jacob et al.   DESALINATION

Computer-Aided Diagnosis of Thyroid Nodules via Ultrasonography: Initial Clinical Experience

(2018) Young Jin Yoo et al.   KOREAN JOURNAL OF RADIOLOGY

Radiomic Signature as a Predictive Factor for Lymph Node Metastasis in Early-Stage Cervical Cancer

(2018) Yangyang Kan et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep Learning–Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study

(2018) Jeong Hoon Lee et al.   THYROID

Automatic superpixel-based segmentation method for breast ultrasound images

(2018) Mohammad I. Daoud et al.   EXPERT SYSTEMS WITH APPLICATIONS

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