Classification for thyroid nodule using ViT with contrastive learning in ultrasound images
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference60 articles.
1. TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision;Sun;Comput. Methods Programs Biomed.,2022
2. T. Liu, S. Xie, J. Yu, L. Niu, W. Sun, Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features, in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2017, pp. 919–923, http://dx.doi.org/10.1109/ICASSP.2017.7952290.
3. Using artificial intelligence to revise ACR TI-RADS risk stratification of thyroid nodules: Diagnostic accuracy and utility;Wildman-Tobriner;Radiology,2019
4. Management of thyroid nodules seen on US images: Deep learning may match performance of radiologists;Buda;Radiology,2019
5. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management;Horvath;J. Clin. Endocrinol. Metab.,2009
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Thyroid-DETR: Thyroid nodule detection model with transformer in ultrasound images;Biomedical Signal Processing and Control;2024-12
2. Deblurring masked image modeling for ultrasound image analysis;Medical Image Analysis;2024-10
3. Vision transformer promotes cancer diagnosis: A comprehensive review;Expert Systems with Applications;2024-10
4. SPGAN Optimized by Piranha Foraging Optimization for Thyroid Nodule Classification in Ultrasound Images;Ultrasonic Imaging;2024-09-10
5. Predicting Central Lymph Node Metastasis in Papillary Thyroid Carcinoma Using a Fusion Model of Vision Transformer and Traditional Radiomics Based on Dynamic Dual-Modality Ultrasound;2024-09-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3