A Random Forest Based Approach for One Class Classification in Medical Imaging
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-35428-1_31
Reference18 articles.
1. Tarassenko, L., Hayton, P., Cerneaz, N., Brady, M.: Novelty detection for the identification of masses in mammograms. In: Fourth International Conference on Artificial Neural Networks, pp. 442–447 (1995)
2. Mourão-Miranda, J., Hardoon, D., Hahn, T., Marquand, A., Williams, S., Shawe-Taylor, J., Brammer, M.: Patient classification as an outlier detection problem: An application of the one-class support vector machine. NeuroImage (2011)
3. Lecture Notes in Computer Science;S.S. Khan,2010
4. Lecture Notes in Computer Science;D.M.J. Tax,2001
5. Scholkopf, B., Platt, J., Shawe-Taylor, J., Smola, A., Williamson, R.: Estimating the support of a high-dimensional distribution. Neural Computation 13(7), 1443–1471 (2001)
Cited by 15 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 Neoteric Feature Extraction Technique to Predict the Survival of Gastric Cancer Patients;Diagnostics;2024-05-01
2. A slice selection guided deep integrated pipeline for Alzheimer’s prediction from Structural Brain MRI;Biomedical Signal Processing and Control;2024-03
3. MFFNet: a building change detection method based on fusion of spectral and geometric information;Geocarto International;2024-01
4. A Comparative Study on Out of Scope Detection for Chest X-ray Images;2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE);2023-06-28
5. Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density;Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing;2022-08-04
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