Thyroid Nodule Cell Classification in Cytology Images Using Transfer Learning Approach
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73689-7_52
Reference25 articles.
1. Taher, F., et al.: Bayesian classification and artificial neural network methods for lung cancer early diagnosis. In: 19th IEEE International Conference on Electronics, Circuits, and Systems, ICECS, pp. 773–776 (2012). https://doi.org/10.1109/ICECS.2012.6463545
2. Taher, F., et al.: Extraction and segmentation of sputum cells for lung cancer early diagnosis. Algorithms 6(3), 512–531 (2013). https://doi.org/10.3390/a6030512
3. El Khatib, A., et al.: Automatic polyp detection: a comparative study. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, pp. 2669–2672 (2015). https://doi.org/10.1109/EMBC.2015.7318941
4. Taha, B., et al.: Automatic polyp detection in endoscopy videos: a survey. In: Proceedings of the 13th IASTED International Conference on Biomedical Engineering, BioMed, pp. 233–240 (2017). https://doi.org/10.2316/P.2017.852-031
5. Taha, B., et al.: Classification of cervical-cancer using pap-smear images: a convolutional neural network approach. In: Communications in Computer and Information Science, vol. 723 (2017). https://doi.org/10.1007/978-3-319-60964-5_23
Cited by 4 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. A Review: Medical Image Analysis Using Deep Learning Models;2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART);2023-12-22
2. Convolutional Neural Networks for Medical Image Segmentation and Classification: A Review;Journal of Information Systems and Telecommunication (JIST);2023-12-16
3. A Review Paper about Deep Learning for Medical Image Analysis;Computational and Mathematical Methods in Medicine;2023-05-29
4. DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs;Journal of Digital Imaging;2023-04-14
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