Breast cancer detection using active contour and classification by deep belief network

Author:

Malathi M.,Sinthia P.,Farzana Fareen,Aloy Anuja Mary G.

Publisher

Elsevier BV

Subject

General Medicine

Reference11 articles.

1. Ipsilateral mammogram computer aided detection of breast cancer;Song;Comput. Med. Imag.,2004

2. N. Ding, N. Saidin, A. Sakim, Density based breast segmentation for mammogram using graph cut send based region growing techniques, IEEE conference on TENCON, February, 2009.

3. Marker controlled watershed for lesion segmentation in mammogram;Song;J. Digit Imag.,2011

4. Detection of suspicious lesions by adaptive thresholding based on multiresolution analysis in mammogram;Li;IEEE Trans. Instrum. Meas.,2011

5. Breast tumour detection in digital mammography based on extreme learning machine;Wang;Neuro Comput.,2014

Cited by 16 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. Detection of breast cancer by deep belief network with improved activation function;International Journal of Adaptive Control and Signal Processing;2024-07-09

2. Impressive predictive model for Breast Cancer based on Machine Learning;EAI Endorsed Transactions on Pervasive Health and Technology;2024-02-29

3. ML-DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster–Shafer Theory;Computational Intelligence and Neuroscience;2023-11-02

4. A Comparative Analysis on Image Processing-Based Algorithms and Approaches in Healthcare;Handbook of Research on Thrust Technologies’ Effect on Image Processing;2023-06-30

5. Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies;Journal of Cancer Research and Clinical Oncology;2023-06-06

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