Deep learning enhancement on mammogram images for breast cancer detection
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference16 articles.
1. www.cancer.gov/
2. Amutha, Babu DR, Shankar MR, and Kumar NH. (2011) “Mammographic image enhancement using modified mathematical morphology and Bi-orthogonal wavelet.” In IT in Medicine and Education (ITME), 2011 International Symposium Vol. 1: 548-553. IEEE.
3. http://www.breastcancer.org/symptoms/
4. Hadjerci, Hafiane, Conte, Makris, Vieyres, and Delbos (2016) “Computer-aided detection system for nerve identification using ultrasound images: A comparative study.” Informatics in Medicine Unlocked 1(3):29-43.
5. Abdullah-Al-Wadud, Mohammad, Md Hasanul Kabir, M. Ali Akber Dewan, and Oksam Chae. A dynamic histogram equalization for image contrast enhancement. Consumer Electronics, IEEE Transactions on 53, no. 2,(2007: 593-600.
Cited by 25 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. Intelligent breast cancer diagnosis with two-stage using mammogram images;Scientific Reports;2024-07-19
2. Enhanced ResNet-151-based fused features for optimized Bi-LSTM-DNN-aided handwritten character and digits recognition;Expert Systems with Applications;2024-06
3. Reinforcement learning (RL)-based semantic segmentation and attention based backpropagation convolutional neural network (ABB-CNN) for breast cancer identification and classification using mammogram images;Neural Computing and Applications;2024-05-11
4. AN AUTOMATED BREAST CANCER DETECTION BY HEURISTIC-BASED ENSEMBLE DEEP CLASSIFIER USING MAMMOGRAM AND TOMOSYNTHESIS IMAGES;Biomedical Engineering: Applications, Basis and Communications;2024-04
5. Potential of Deep Learning for Image Processing;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14
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