Directional wavelet based features for colonic polyp classification

Wimmer Georg; Tamaki Toru; Tischendorf J. J. W.; Haefner Michael; Yoshida Shigeto; Tanaka Shinji; Uhl Andreas

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Directional wavelet based features for colonic polyp classification

机译：基于方向小波的结肠息肉分类特征

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In this work, various wavelet based methods like the discrete wavelet transform, the dual-tree complex wavelet transform, the Gabor wavelet transform, curvelets, contourlets and shearlets are applied for the automated classification of colonic polyps. The methods are tested on 8 HD-endoscopic image databases, where each database is acquired using different imaging modalities (Pentax's i-Scan technology combined with or without staining the mucosa), 2 NBI high-magnification databases and one database with chromoscopy high-magnification images.

机译：在这项工作中，各种基于小波的方法，如离散小波变换，双树复数小波变换，Gabor小波变换，曲线波，轮廓波和小波波，被用于结肠息肉的自动分类。该方法在8个高清内窥镜图像数据库上进行了测试，其中每个数据库都是使用不同的成像方式（Pentax的i-Scan技术结合或不对粘膜染色进行采集），2个NBI高倍率数据库和一个具有高倍率色谱法的数据库图片。

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来源
《Medical image analysis》 |2016年第null期|共21页
作者
Wimmer Georg; Tamaki Toru; Tischendorf J. J. W.; Haefner Michael; Yoshida Shigeto; Tanaka Shinji; Uhl Andreas;
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正文语种 eng
中图分类影像诊断学;
关键词
Polyp classification; Wavelet; Curvelet; Contourlet; Shearlet;

机译：息肉分类小波曲线轮廓波Shearlet;

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1. Directional wavelet based features for colonic polyp classification [J] . Wimmer Georg, Tamaki Toru, Tischendorf J. J. W., Medical image analysis . 2016,第Null期

机译：基于方向小波的结肠息肉分类特征
2. Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps [J] . Hafner M, Kwitt R, Uhl A, Pattern Recognition: The Journal of the Pattern Recognition Society . 2009,第6期

机译：不同小波域的计算机辅助坑模式分类，以支持结肠息肉的尊严评估
3. Classification of the colonic polyps in CT-colonography using region covariance as descriptor features of suspicious regions. [J] . Kilic N, Kursun O, Ucan ON Journal of medical systems . 2010,第2期

机译：使用区域协方差作为可疑区域的描述符特征，在CT结肠造影中对结肠息肉进行分类。
4. Simultaneous feature selection and classification based on genetic algorithms: an application to colonic polyp detection [C] . Yalin Zheng, Xiaoyun Yang, Musib Siddique, Conference on Medical Imaging 2008: Computer-Aided Diagnosis; 20080219-21; San Diego,CA(US) . 2008

机译：基于遗传算法的特征同时选择与分类：在结肠息肉检测中的应用
5. A wavelet-based approach to the classification of remotely-sensed images: A comparison of different feature sets in an urban environment. [D] . Chen, Jianhui. 2007

机译：基于小波的遥感图像分类方法：城市环境中不同特征集的比较。
6. Automated Renal Cell Carcinoma Subtype Classification Using Morphological Textural and Wavelets Based Features [O] . Qaiser Chaudry, Syed Hussain Raza, Andrew N. Young, -1

机译：基于形态学纹理和小波的自动肾细胞癌亚型分类
7. Computer-Assisted Pit-Pattern Classification in Different Wavelet Domains for Supporting Dignity Assessment of Colonic Polyps [O] . Michael Häfner, Roland Kwitt, Andreas Uhl, 2010

机译：支持小波域尊严评估的不同小波域的计算机辅助坑模式分类
8. Space-based RF signal classification using adaptive wavelet features [R] . Michael Caffrey, Scott Briles 1995

机译：基于空间的射频信号分类使用自适应小波特征

Directional wavelet based features for colonic polyp classification

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