A Novel Automatic Seed Placement Approach for Region Growing segmentation in Mammograms

Author:

Melouah Ahlem1,Layachi Soumaya1

Affiliation:

1. Department of Informatics, LRI labo, Badji-Mokhtar Annaba University, P.O. Box 12, 23000, Annaba, Algeria

Publisher

ACM

Reference13 articles.

1. Seeded region growing

2. Mehnert A. and Jackway P. 1997. An improved seeded region growing algorithm. Pattern Recognition letters 18 10(1997) 1065--1071. 10.1016/S0167-8655(97)00131-1 Mehnert A. and Jackway P. 1997. An improved seeded region growing algorithm. Pattern Recognition letters 18 10(1997) 1065--1071. 10.1016/S0167-8655(97)00131-1

3. Seeded region growing: an extensive and comparative study

4. Automatic image segmentation by integrating color-edge extraction and seeded region growing

5. Pan Z. and Lu J. 2007. A Bayes-Based Region-Growing algorithm for medical image segmentation. Computing in Science and Engineering 9 (2007) 32--38. 10.1109/MCSE.2007.67 Pan Z. and Lu J. 2007. A Bayes-Based Region-Growing algorithm for medical image segmentation. Computing in Science and Engineering 9 (2007) 32--38. 10.1109/MCSE.2007.67

Cited by 8 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. Breast MRI Multi-tumor Segmentation Using 3D Region Growing;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27

2. Breast mass segmentation using mammographic data: a systematic review;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-06-14

3. Breast Tumor Detection in MR Images Based on Density;International Journal of Image and Graphics;2021-04-10

4. Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation;Biomedical Signal Processing and Control;2021-04

5. Breast tumor detection and classification based on density;Multimedia Tools and Applications;2020-07-16

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