Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis
Publication in refereed journal

香港中文大學研究人員

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摘要Ulcer is one of the most common symptoms of many serious diseases in the human digestive tract. Especially for the ulcers in the small bowel where other procedures cannot adequately visualize, wireless capsule endoscopy (WCE) is increasingly being used in the diagnosis and clinical management. Because WCE generates large amount of images from the whole process of inspection, computer-aided detection of ulcer is considered an indispensable relief to clinicians. In this paper, a two-staged fully automated computer-aided detection system is proposed to detect ulcer from WCE images. In the first stage, we propose an effective saliency detection method based on multi-level superpixel representation to outline the ulcer candidates. To find the perceptually and semantically meaningful salient regions, we first segment the image into multi-level superpixel segmentations. Each level corresponds to different initial region sizes of the superpixels. Then we evaluate the corresponding saliency according to the color and texture features in superpixel region of each level. In the end, we fuse the saliency maps from all levels together to obtain the final saliency map. In the second stage, we apply the obtained saliency map to better encode the image features for the ulcer image recognition tasks. Because the ulcer mainly corresponds to the saliency region, we propose a saliency max-pooling method integrated with the Locality-constrained Linear Coding (LLC) method to characterize the images. Experiment results achieve promising 92.65% accuracy and 94.12% sensitivity, validating the effectiveness of the proposed method. Moreover, the comparison results show that our detection system outperforms the state-of-the-art methods on the ulcer classification task.
著者Yuan YX, Wang JL, Li BP, Meng MQH
期刊名稱IEEE Transactions on Medical Imaging
出版年份2015
月份10
日期1
卷號34
期次10
出版社IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
頁次2046 - 2057
國際標準期刊號0278-0062
電子國際標準期刊號1558-254X
語言英式英語
關鍵詞constrained linear coding (LLC); Locality; multi-level superpixel representation; saliency; saliency-based max-pooling method
Web of Science 學科類別Computer Science; Computer Science, Interdisciplinary Applications; Engineering; Engineering, Biomedical; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging

上次更新時間 2021-15-01 於 00:42