Uterine Segmentation and Volume Measurement in Uterine Fibroid Patients’ MRI Using Fuzzy C-Mean Algorithm and Morphological Operations-Reference-Cited by-同舟云学术

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Uterine Segmentation and Volume Measurement in Uterine Fibroid Patients’ MRI Using Fuzzy C-Mean Algorithm and Morphological Operations

Published:2011-12-31 Issue:03 Volume:08 Page:150-156
ISSN:1735-1065
Container-title:Iranian Journal of Radiology
language:
Short-container-title:Iran J Radiol

Author:

Fallahi Alireza,Pooyan Mohammad,Ghanaati Hossein,Oghabian Mohammad Ali,Khotanlou Hassan,Shakiba Madjid,Jalali Amir Hossein,Firouznia Kavous

Publisher

Briefland

Subject

Radiology, Nuclear Medicine and imaging

Cited by 21 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. nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning;BMC Medical Imaging;2024-09-06

2. Comparative Assessment of deep learning methods for Prediction of Uterine Fibroid;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

3. CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment;IRBM;2023-06

4. Diagnosis and management of uterine fibroids: current trends and future strategies;Journal of Basic and Clinical Physiology and Pharmacology;2023-03-30

5. DARU‐Net: A dual attention residual U‐Net for uterine fibroids segmentation on MRI;Journal of Applied Clinical Medical Physics;2023-03-29

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