Inhomogeneous Image Segmentation Using Hybrid Active Contours Model With Application to Breast Tumor Detection-Reference-Cited by-同舟云学术

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Inhomogeneous Image Segmentation Using Hybrid Active Contours Model With Application to Breast Tumor Detection

Published:2020 Issue: Volume:8 Page:186851-186861
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Niaz Asim^ORCID,Memon Asif Aziz^ORCID,Rana Kaynat,Joshi Aditi^ORCID,Soomro Shafiullah^ORCID,Kang Jin Seok,Choi Kwang Nam^ORCID

Funder

National Research Foundation of Korea (NRF) funded by the Korea Government Ministry of Science and Information Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09216138.pdf?arnumber=9216138

Cited by 13 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

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2. Image Segmentation Using Bias Correction Active Contours;IEEE Access;2024

3. Selective image segmentation driven by region, edge and saliency functions;PLOS ONE;2023-12-15

4. On the Use of Active Contour Models for Breast Cancer Lesion Segmentation;2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON);2023-12-05

5. Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation;Signal Processing;2023-04

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