Breast cancer detection in mammogram: combining modified CNN and texture feature based approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-03713-3.pdf
Reference42 articles.
1. Ahmed L, Iqbal MM, Aldabbas H et al (2020) Images data practices for semantic segmentation of breast cancer using deep neural network. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-01680-1
2. Akselrod-Ballin A, Karlinsky L, Alpert S, Hashoul S, Ben-Ari R, Barkan E (2019) A CNN based method for automatic mass detection and classifcation in mammograms. Comput Methods Biomech Biomed Eng Imaging vis 7:242–249
3. Alizadeh SM, Mahloojifar A (2020) Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features. Int J Imaging Syst Technol. https://doi.org/10.1002/ima.22490
4. Al-masni MA, Al-antari MA, Park JM et al (2018) Simultaneous detection and classifcation of breast masses in digital mammograms via a deep learning YOLO-based CAD system. Comput Methods Programs Biomed 157:85–94
5. Bayramoglu N, Kannala J, Heikkilä J (2016) Deep learning for magnification independent breast cancer histopathology image classification. In: 2016 23rd International conference on pattern recognition (ICPR), pp 2440–2445
Cited by 43 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. Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction;Biomedical Signal Processing and Control;2025-01
2. An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm;Engineering Applications of Artificial Intelligence;2024-11
3. Intelligent breast cancer diagnosis with two-stage using mammogram images;Scientific Reports;2024-07-19
4. A unified 2D medical image segmentation network (SegmentNet) through distance-awareness and local feature extraction;Biocybernetics and Biomedical Engineering;2024-07
5. Swarm Intelligent Metaheuristic Optimization Algorithms-Based Artificial Neural Network Models for Breast Cancer Diagnosis: Emerging Trends, Challenges and Future Research Directions;Archives of Computational Methods in Engineering;2024-05-23
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