Classification for thyroid nodule using ViT with contrastive learning in ultrasound images

StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images

(2022) Bangkang Fu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Towards more efficient ophthalmic disease classification and lesion location via convolution transformer

(2022) Huajie Wen et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Hierarchy-aware contrastive learning with late fusion for skin lesion classification

(2022) Benny Wei-Yun Hsu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Vision Transformer for femur fracture classification

(2022) Leonardo Tanzi et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

DG-CNN: Introducing Margin Information into Convolutional Neural Networks for Breast Cancer Diagnosis in Ultrasound Images

(2022) Xiao-Zheng Xie et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

Fully transformer network for skin lesion analysis

(2022) Xinzi He et al.   MEDICAL IMAGE ANALYSIS

Unsupervised learning method via triple reconstruction for the classification of ultrasound breast lesions

(2022) Mingue Song et al.   Biomedical Signal Processing and Control

Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning

(2022) Qingbo Kang et al.   MEDICAL IMAGE ANALYSIS

Fully-Automated Deep Learning Pipeline for Segmentation and Classification of Breast Ultrasound Images

(2022) Alessandro Sebastian Podda et al.   Journal of Computational Science

Automated classification of cervical lymph-node-level from ultrasound using Depthwise Separable Convolutional Swin Transformer

(2022) Yanting Liu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Transformer-based unsupervised contrastive learning for histopathological image classification

(2022) Xiyue Wang et al.   MEDICAL IMAGE ANALYSIS

Focused Attention in Transformers for interpretable classification of retinal images

(2022) Clément Playout et al.   MEDICAL IMAGE ANALYSIS

SiSL-Net: Saliency-guided self-supervised learning network for image classification

(2022) Kun Liu et al.   NEUROCOMPUTING

A multitask classification framework based on vision transformer for predicting molecular expressions of glioma

(2022) Qian Xu et al.   EUROPEAN JOURNAL OF RADIOLOGY

Endoscopic image recognition method of gastric cancer based on deep learning model

(2021) Wengang Qiu et al.   EXPERT SYSTEMS

Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging

(2021) Peng Wan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

TransMed: Transformers Advance Multi-Modal Medical Image Classification

(2021) Yin Dai et al.   Diagnostics

TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision

(2021) Jiawei Sun et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks

(2020) Lituan Wang et al.   MEDICAL IMAGE ANALYSIS

Ultrasonographic Thyroid Nodule Classification Using a Deep Convolutional Neural Network with Surgical Pathology

(2020) Soon Woo Kwon et al.   JOURNAL OF DIGITAL IMAGING

Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning

(2020) Yifei Chen et al.   MEDICAL IMAGE ANALYSIS

Integrate domain knowledge in training multi-task cascade deep learning model for benign–malignant thyroid nodule classification on ultrasound images

(2020) Wenkai Yang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility

(2019) Benjamin Wildman-Tobriner et al.   RADIOLOGY

Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists

(2019) Mateusz Buda et al.   RADIOLOGY

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

Predictive Value of Malignancy of Thyroid Nodule Ultrasound Classification Systems: A Prospective Study

(2018) Agnese Persichetti et al.   JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM

Multi-task Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition

(2018) Wenfeng Song et al.   IEEE Journal of Biomedical and Health Informatics

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

(2017) Jianning Chi et al.   JOURNAL OF DIGITAL IMAGING

A pre-trained convolutional neural network based method for thyroid nodule diagnosis

(2017) Jinlian Ma et al.   ULTRASONICS

An Ultrasonogram Reporting System for Thyroid Nodules Stratifying Cancer Risk for Clinical Management

(2009) Eleonora Horvath et al.   JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM