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Suspicious Lesion Segmentation on Brain Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering

机译：基于新的优化空间特征的基于超像素模糊C均值聚类的脑乳房X线照片和乳房MR图像可疑病变分割

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摘要

Example of the super-pixel segmentation with different window sizes. Original breast MRI image with medium size tumour. Super-pixel segmentation with 500 super-pixels. Super-pixel segmentation with 1000 super-pixels

机译：具有不同窗口大小的超像素分割示例。具有中等大小肿瘤的原始乳房MRI图像。具有500个超像素的超像素分割。具有1000个超像素的超像素分割

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期刊名称 Journal of Digital Imaging
作者
S. N. Kumar; A. Lenin Fred; P. Sebastin Varghese;
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作者单位

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年(卷),期 2019(32),2
年度 2019
页码 -1
总页数 14
原文格式 PDF
正文语种
中图分类放射医学;影像诊断学;
关键词
Mammograms; Breast MR images; Super-pixel; Fuzzy C-means; Spatial; Clinical application;

机译：乳房X线照片;乳房MR图像;超像素;模糊C均值;空间;临床应用;

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专利

1. Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering [J] . Kumar S. N., Fred A. Lenin, Varghese P. Sebastin Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2019,第2期

机译：基于基于的基于优化的空间特征的超像素模糊C-MERIAL聚类，可疑病变分段
2. Improved particle swarm optimized deep convolutional neural network with super-pixel clustering for multiple sclerosis lesion segmentation in brain MRI imaging [J] . Krishna Priya R., Chacko Susamma International journal for numerical methods in biomedical engineering . 2021,第9期

机译：改进的粒子群优化深卷积神经网络，具有超像素聚类，用于脑MRI成像中的多发性硬化病变分段
3. SFLA Optimization Based Spatial Kernel Fuzzy C-Means Clustering for MRI Image Segmentation using SIFT Descriptors [J] . Somasundaram Devaraj, Palaniswami.S Australian Journal of Basic and Applied Sciences . 2015,第2015期

机译：基于SFLA优化的基于空间核模糊C均值聚类的SIFT描述符用于MRI图像分割
4. Fuzzy c-means clustering based on Gaussian spatial information for brain MR image segmentation [C] . Biniaz Abbas, Abbassi Ataollah, Shamsi Mousa, 2012 19th Iranian Conference of Biomedical Engineering . 2012

机译：基于高斯空间信息的模糊c均值聚类用于脑MR图像分割
5. Interactive 3D GPU-based breast mass lesion segmentation method based on level sets for DCE-MRI images. [D] . Zavala-Romero, Olmo Sebastian. 2015

机译：基于水平集的DCE-MRI图像的基于交互式3D GPU的乳房肿块病变分割方法。
6. Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm [O] . Yachun Pang, Li Li, Wenyong Hu, 2012

机译：利用模糊c均值聚类和Snake算法在动态对比度增强的MR图像中对乳腺病变进行计算机分割和表征
7. Segmentation of multiple sclerosis lesions in brain MR images using spatially constrained possibilistic fuzzy C-means classification [O] . Hassan Khotanlou, Mahlagha Afrasiabi 2011

机译：使用空间约束可能性模糊C-Meansification的脑MR图像中多发性硬化病变的分割

Suspicious Lesion Segmentation on Brain Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering

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