AUTOMATIC SEGMENTATION OF MYCOBACTERIUM TUBERCULOSIS IN ZIEHL-NEELSEN SPUTUM SLIDE IMAGES USING SUPPORT VECTOR MACHINES

机译：支持向量机在Ziehl-Neelsen滑片图像中结核分枝杆菌的自动分离

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The World Health Organization suggests visual examination of stained sputum smear samples as a preliminary and basic diagnostic technique of tuberculosis disease. The visual examination requires laboratory technicians to spend considerable time, so it increases laboratorians' workload. In addition, it leads to a misdiagnosis because of requiring mental concentration. This paper presents a novel method for segmentation of tuberculosis bacteria in microscopic images taken from the Ziehl-Neelsen stained samples. Color information of bacterial regions which is taken from pixels and their adjacent pixels is sampled in training process. Multidimensional Gaussian probability density function and support vector machines are used during microscopic image segmentation comparatively. The performance of the implemented system is evaluated using sensitivity, specificity and accuracy criteria.

机译：世界卫生组织建议对痰涂片样本进行目视检查，作为结核病的初步和基本诊断技术。目视检查需要实验室技术人员花费大量时间，因此会增加实验室工作人员的工作量。另外，由于需要精神集中，导致误诊。本文提出了一种从Ziehl-Neelsen染色样品拍摄的显微图像中分割结核菌的新方法。在训练过程中采样从像素及其相邻像素中获取的细菌区域的颜色信息。多维高斯概率密度函数和支持向量机在显微图像分割过程中相对使用。使用敏感性，特异性和准确性标准评估所实施系统的性能。

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来源
《Proceedings of the 17th IASTED international conference on robotics applications ; Proceedings of the 11th IASTED international conference on biomedical engineering》|2014年|228-232|共5页
会议地点 Zurich(CH)
作者
Selen Ayas; Murat Ekinci;
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作者单位

Department of Computer Engineering, Karadeniz Technical University Trabzon / Turkey;

Department of Computer Engineering, Karadeniz Technical University Trabzon / Turkey;

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原文格式 PDF
正文语种 eng
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关键词
Tuberculosis; Ziehl-Neelsen staining procedure; Gaussian probability density function; support vector machines;

机译：结核; Ziehl-Neelsen染色程序；高斯概率密度函数；支持向量机;

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专利

1. TUBERCULOSIS (TB) IDENTIFICATION IN THE ZIEHL-NEELSEN SPUTUM SAMPLE IN NTSC CHANNEL AND SUPPORT VECTOR MACHINE (SVM) Diponegoro UniversityCLASSIFICATION [J] . Kusworo Adi, Rahmad Gernowo, Aris Sugiharto, International Journal of Innovative Research in Science, Engineering and Technology . 2013,第9期

机译：NTSC通道和支持向量机（SVM）的Ziehl-Neelsen样本中的结核病（TB）鉴定迪波尼哥罗大学分类
2. Automatic Segmentation of Intima Media Complex in Carotid Ultrasound Images Using Support Vector Machine [J] . Nagaraj Y., Teja A. Hema Sai, Narasimhadhan A. V. Arabian Journal for Science and Engineering . 2019,第4期

机译：支持向量机在颈动脉超声图像中内膜介质复合物的自动分割
3. Automatic Segmentation of Intima Media Complex in Carotid Ultrasound Images Using Support Vector Machine [J] . Nagaraj Y., Teja A. Hema Sai, Narasimhadhan A. V. Arabian Journal for Science and Engineering . 2019,第4期

机译：使用支持向量机的颈动脉超声图像中内部媒体复合物的自动分割
4. AUTOMATIC SEGMENTATION OF MYCOBACTERIUM TUBERCULOSIS IN ZIEHL-NEELSEN SPUTUM SLIDE IMAGES USING SUPPORT VECTOR MACHINES [C] . Selen Ayas, Murat Ekinci IASTED International Conference on Biomedical Engineering . 2014

机译：使用支持向量机的Ziehl-Neelsen痰液滑动图像中分枝杆菌结核分枝杆菌的自动分割
5. Image segmentation and pattern classification using support vector machines. [D] . Cheng, Shouxian. 2006

机译：使用支持向量机进行图像分割和模式分类。
6. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation [O] . Brad M. Keller, Diane L. Nathan, Yan Wang, -1

机译：通过自适应模糊c均值聚类和支持向量机分割估计原始和处理的全场数字化乳腺摄影图像中的乳房百分比密度
7. Segmentation of TB Bacilli in Ziehl-Neelsen Sputum Slide Images using k-means Clustering Technique [O] . Rafikha Raof, M. Y. Mashor, S. S. M. Noor 2018

机译：利用K-Means聚类技术在Ziehl-Neelsen痰液滑动图像中的Tb Bacilli的分割

AUTOMATIC SEGMENTATION OF MYCOBACTERIUM TUBERCULOSIS IN ZIEHL-NEELSEN SPUTUM SLIDE IMAGES USING SUPPORT VECTOR MACHINES

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