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Computer-aided small bowel tumor detection for capsule endoscopy

Computer-aided small bowel tumor detection for capsule endoscopy,10.1016/j.artmed.2011.01.003,Artificial Intelligence in Medicine,Baopu Li,Max Q.-H. M

Computer-aided small bowel tumor detection for capsule endoscopy   (Citations: 3)
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ObjectiveCapsule endoscopy is useful in the diagnosis of small bowel diseases. However, the large number of images produced in each test is a tedious task for physicians. To relieve burden of physicians, a new computer-aided detection scheme is developed in this study, which aims to detect small bowel tumors for capsule endoscopy.
Journal: Artificial Intelligence in Medicine - ARTMED , vol. 52, no. 1, pp. 11-16, 2011
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    • ...We have investigated bleeding, ulcer, polyp and tumor region recognition in our previous research [8-12], which has demonstrated promising performance for abnormal region detection and built a good basis for automatic CE video analysis...

    Baopu Liet al. Motion analysis for capsule endoscopy video segmentation

    • ...Many researchers have concentrated on detections of abnormalities in WCE images such as bleeding [2][3], ulcer [4][5], polyp [6] and tumor [7][8]...
    • ...In [7][8], a novel multi-resolution textural feature, wavelet based local binary pattern, is put forward to characterize the textural patterns in WCE images...
    • ...More aspects about this algorithm can be obtained in [8]...

    Baopu Liet al. Comparison of several image features for WCE video abstract

    • ...We have investigated bleeding, ulcer, polyp and tumor region recognition in our previous research [9-13], which has demonstrated promising performance for abnormal region detection and built a good basis for automatic CE video analysis...
    • ...We have set up a new textural scheme, multi-resolution textural feature, wavelet based local binary pattern, to depict the textural patterns in CE images [12][13]...

    Baopu Liet al. Capsule endoscopy video Boundary Detection

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