Suspicious Region Segmentation Using Deep Features in Breast Cancer Mammogram Images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Suspicious Region Segmentation Using Deep Features in Breast Cancer Mammogram Images

Published:2022-03-15 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Science and Software Engineering (CSASE)
language:
Short-container-title:

Author:

Zebari Dilovan Asaad¹,Ibrahim Dheyaa Ahmed²,Al-Zebari Adel³

Affiliation:

1. Nawroz University,College of Science,Dept of Computer Science,Duhok, Duhok,Iraq,42001

2. Imam Ja'afar Al-Sadiq University,Communications Engineering Techniques Dept,Baghdad,Iraq

3. Technical College of Informatics Akre, Duhok Polytechnic University,Dept of Information Technology,Duhok,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9759539/9759415/09759633.pdf?arnumber=9759633

Reference21 articles.

1. A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms

2. Intensity Based Automatic Boundary Identification of Pectoral Muscle in Mammograms

3. Automated digital mammogram segmentation using Dispersed Region Growing and Sliding Window Algorithm

4. Novel Approach to Segment the Pectoral Muscle in the Mammograms

5. Breast Skin-Line Segmentation Using Contour Growing

Cited by 4 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. Spatial Attention Mechanism and Cascade Feature Extraction in a U-Net Model for Enhancing Breast Tumor Segmentation;Applied Sciences;2023-07-28

2. Analysis of The Various Techniques Used for Breast Segmentation from Mammograms;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29

3. A New Fat-Removal-Based Preprocessing Pipeline for MLO View in Digital Mammograms;IEEE Access;2023

4. CNN-based Deep Transfer Learning Approach for Detecting Breast Cancer in Mammogram Images;2022 IEEE 10th Conference on Systems, Process & Control (ICSPC);2022-12-17

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