Brain Tumor Classification Using Enhanced Statistical Texture Features-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Brain Tumor Classification Using Enhanced Statistical Texture Features

Published:2020-06-19 Issue: Volume: Page:1-12
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Mudda Mallikarjun¹^ORCID,Manjunath R.²,Krishnamurthy N.³

Affiliation:

1. Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India

2. Wipro Technologies, Bangalore, India

3. Department of Electrical and Electronics Engineering, Jain University, Bangalore, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2020.1775501

Reference30 articles.

Cited by 18 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. YOLOv7 for brain tumour detection using morphological transfer learning model;Neural Computing and Applications;2024-08-12

2. Multi-level brain tumor classification using hybrid coot flamingo search optimization Algorithm Enabled deep learning with MRI images;Network: Computation in Neural Systems;2024-04-26

3. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks;Scientific Reports;2024-04-25

4. Comparing of brain tumor diagnosis with developed local binary patterns methods;Neural Computing and Applications;2024-02-22

5. Brain Tumor Classification and Detection Based DL Models: A Systematic Review;IEEE Access;2024

同舟云学术

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