Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/article/10.1007/s10916-018-0991-9/fulltext.html
Reference54 articles.
1. Banik, S., Rangayyan, R.M., and Boag, G.S., Automatic segmentation of the ribs, the vertebral column, and the spinal canal in pediatric computed tomographic images. J. Digit. Imaging 23(3):301–322, 2010.
2. Bar, Y., Diamant, I., Wolf, L., Lieberman, S., Konen, E., and Greenspan, H.: Chest pathology detection using deep learning with non-medical training. In: 12Th IEEE International Symposium on Biomedical Imaging, ISBI 2015, brooklyn, April 16-19, 2015, pp. 294–297. https://doi.org/10.1109/ISBI.2015.7163871 , 2015
3. Bishop, C.M., Neural networks for pattern recognition. New York: Oxford University Press, inc., 1995.
4. Boykov, Y., Veksler, O., and Zabih, R., Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11):1222–1239, 2001.
5. Candemir, S., Jaeger, S., Palaniappan, K., Musco, J.P., Singh, R.K., Xue, Z., Karargyris, A., Antani, S., Thoma, G.R., and McDonald, C.J., Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans. Med. Imaging 33(2):577–590, 2014.
Cited by 118 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. LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network;Journal of Computational Science;2024-08
2. Optimized tuberculosis classification system for chest X‐ray images: Fusing hyperparameter tuning with transfer learning approaches;Engineering Reports;2024-04-29
3. A New Permutation-Based Method for Ranking and Selecting Group Features in Multiclass Classification;Applied Sciences;2024-04-09
4. A novel tuberculosis diagnosis approach using feed-forward neural networks and binary pattern of phase congruency;Intelligent Systems with Applications;2024-03
5. A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review;BMC Medical Imaging;2024-02-01
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