Self-training with unlabeled regions for NBI image recognition
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Shinji Tanaka | Kazufumi Kaneda | Takio Kurita | Bisser Raytchev | Toru Tamaki | Shigeto Yoshida | Rie Miyaki | Takahishi Takeda | Yoshito Takemura | Keiichi Onji
[1] Til Aach,et al. A comparison of blood vessel features and local binary patterns for colorectal polyp classification , 2009, Medical Imaging.
[2] Volkmar Frinken,et al. Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition , 2009, 2009 10th International Conference on Document Analysis and Recognition.
[3] Til Aach,et al. Classification of colon polyps in NBI endoscopy using vascularization features , 2009, Medical Imaging.
[4] Shinji Tanaka,et al. A System for Colorectal Tumor Classification in Magnifying Endoscopic NBI Images , 2010, ACCV.
[5] Xiaojin Zhu,et al. Introduction to Semi-Supervised Learning , 2009, Synthesis Lectures on Artificial Intelligence and Machine Learning.
[6] Shinji Tanaka,et al. Narrow-band imaging magnification predicts the histology and invasion depth of colorectal tumors. , 2009, Gastrointestinal endoscopy.
[7] Martial Hebert,et al. Semi-Supervised Self-Training of Object Detection Models , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[8] Chih-Jen Lin,et al. Probability Estimates for Multi-class Classification by Pairwise Coupling , 2003, J. Mach. Learn. Res..
[9] Til Aach,et al. Polyp Segmentation in NBI Colonoscopy , 2009, Bildverarbeitung für die Medizin.