Intelligent retrieval and classification in three-dimensional biomedical images — A systematic mapping-Reference-Cited by-同舟云学术

Intelligent retrieval and classification in three-dimensional biomedical images — A systematic mapping

Published:2019-02 Issue: Volume:31 Page:19-38
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Bergamasco Leila Cristina C.,Nunes Fátima L.S.

Funder

Brazilian National Council of Scientific and Technological Development

the - Brazilian Federal Agency for Support and Evaluation of Graduate Education

Sao Paulo Research Foundation

National Institute of Science and Technology Medicine Assisted by Scientific Computing

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference207 articles.

1. The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east;Gantz;IDC iView: IDC Anal. Future,2012

2. Big data: the next frontier for innovation in therapeutics and healthcare;Issa;Expert Rev. Clin. Pharmacol.,2014

3. R. Hermon, P.A. Williams, Big data in healthcare: What is it used for? in: 3rd Australian eHealth Informatics and Security Conference, 2014, pp. 40–49.

4. Three-Dimensional Model Analysis and Processing;Yu,2011

5. Handbook of medical imaging. Processing and analysis;Bankman;Med. Phys.,2002

Cited by 17 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. Local means-based fuzzy k-nearest neighbor classifier with Minkowski distance and relevance-complementarity feature weighting;Granular Computing;2024-08-31

2. A order-based content-based information retrieval system proposal applied in 3D meshes;International Journal of Multimedia Information Retrieval;2024-08-02

3. Unsupervised affinity learning based on manifold analysis for image retrieval: A survey;Computer Science Review;2024-08

4. Content-based image retrieval for medical diagnosis using fuzzy clustering and deep learning;Biomedical Signal Processing and Control;2024-02

5. Terahertz Data Extraction and Analysis Based on Deep Learning Techniques for Emerging Applications;IEEE Access;2024