Deep convolutional neural networks in thyroid disease detection: A multi-classification comparison by ultrasonography and computed tomography
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference45 articles.
1. Quantifying the differences in surgical management of patients with definitive and indeterminate thyroid nodule cytology;Stewart;European Journal of Surgical Oncology,2020
2. 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;Haugen;Thyroid,2016
3. Computer aided breast cancer diagnosis techniques in ultrasound: a survey;Prabusankarlal;J Med Imaging Health Inform,2014
4. Computer-aided diagnosis: a survey with bibliometric analysis;Takahashi;Int J Med Inform,2017
5. Ultrasound-based differentiation of malignant and benign thyroid nodules: an extreme learning machine approach;Xia;Comput Methods Programs Biomed,2017
Cited by 34 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. An ensemble machine learning-based approach to predict thyroid disease using hybrid feature selection;Biomedical Analysis;2024-09
2. A novel maternal thyroid disease prediction using multi-scale vision transformer architecture with improved linguistic hedges neural-fuzzy classifier;Technology and Health Care;2024-07-13
3. A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods;The Open Bioinformatics Journal;2024-07-05
4. A novel deep machine learning algorithm with dimensionality and size reduction approaches for feature elimination: thyroid cancer diagnoses with randomly missing data;Briefings in Bioinformatics;2024-05-23
5. Innovative Framework for Thyroid Disease Detection by Leveraging Hybrid AGTEO Feature Selection and GRU Classification Model;International Research Journal of Multidisciplinary Technovation;2024-04-30
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