Title: Identification of Abnormal Cervical Regions from Colposcopy Image Sequences
Authors: Liang, Mingpei
Zheng, Gaopin
Huang, Xinyu
Milledge, Gaolin
Tokuta, Alade
Citation: WSCG 2013: Communication Papers Proceedings: 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 130-136.
Issue Date: 2013
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Communications-proceedings.pdf
ISBN: 978-80-86943-75-6
Keywords: zpracování obrazu;vektorový stroj;rakovina děložního čípku;kolposkopie
Keywords in different language: image processing;vector machine;cervical cancer;colposcopy
Abstract: Cervical cancer is the third most common cancer in women worldwide and the leading cause of cancer death in women of the developing countries. Cancer death rate can be greatly reduced by regular screening. One of the steps during a screening program is the detection of the abnormal cells that could evolve into cancer. In this paper, we propose an algorithm that automatically identifies the abnormal cervical regions from colposcopy image sequence. Firstly, based on the segmentation of three different image regions, a set of low-level features is extracted to model the temporal changes in the cervix before and after applying acetic acid. Second, a support vector machine (SVM) classifier is trained and used to make predictions on new input feature vectors. As the low-level features are very insensitive to accurate image registration, only a rough normalization step is needed to sample image patches. Our preliminary results show that our algorithm is accurate and effective. Furthermore, our algorithm only needs to sample patches from six image frames within a five-minute time period. Hence, the proposed algorithm also could be applied to improve the accuracy of the mobile telemedicine for cervical cancer screening in low-resource settings.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2013: Communication Papers Proceedings

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