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Automatic Hookworm Detection in Wireless Capsule Endoscopy Images.

, , , , , and . IEEE Trans. Med. Imaging, 35 (7): 1741-1752 (2016)

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Fast -Term Pursuit for Sparse Image Representation., , and . IEEE Signal Process. Lett., (2008)Automatic Hookworm Detection in Wireless Capsule Endoscopy Images., , , , , and . IEEE Trans. Med. Imaging, 35 (7): 1741-1752 (2016)Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process., , , , , , , , and . Medical Image Anal., (2016)Fast Transfer Navigation for Autonomous Robots., , , , , and . J. Robotics, (2021)Multi-stage image denoising based on correlation coefficient matching and sparse dictionary pruning., , , and . Signal Process., 92 (1): 139-149 (2012)Automatic hookworm image detection for wireless capsule endoscopy using hybrid color gradient and contourlet transform., , , , and . BMEI, page 116-120. IEEE, (2013)Annotating Early Esophageal Cancers Based on Two Saliency Levels of Gastroscopic Images., , , , , , , , , and . J. Medical Systems, 42 (12): 237:1-237:14 (2018)Depth Information-Based Automatic Annotation of Early Esophageal Cancers in Gastroscopic Images Using Deep Learning Techniques., , , , , , , and . IEEE Access, (2020)Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images., , , , , , , and . IEEE Access, (2019)Image denoising using multi-stage sparse representations., and . ICIP, page 1165-1168. IEEE, (2010)