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Prof Yuji Iwahori

Chubu University, Japan

3D Shape Recovery and Pattern Classification Using Neural Network Learning


In the computer vision and machine learning fields, image recognition and its application technologies are more and more becoming popular in recent years. In this talk, 3D shape recovery and pattern classification approaches using neural network learning are introduced from the background to its recent application which we have developed for the supporting purpose of the medical diagnosis in recent years. Some approaches about 3D shape recovery and automatic detection of polyp from endoscope image are presented with introducing neural network and pattern classification technologies, where how shape of polyp is recovered and how polyp is detected with machine learning approach are shown. Shape recovery approach is based on the shape-from-shading approach and learning and modification of surface orientation are done with neural network. Automatic polyp detection and classification of Benign or malignant polyp are overall based on the machine learning approaches including SVM and CNN with many learning data and generalization.

Yuji Iwahori


Yuji Iwahori received B.S. degree from Dept. of Computer Science, Nagoya Institute of Technology (Japan), M.S. degree and Ph.D. degree from the Dept. of Electrical and Electronics, Tokyo Institute of Technology (Japan) in 1985 and 1988, respectively. He joined Educational Center for Information Processing, Nagoya Institute of Technology as a research associate in 1988, an associate professor in 1992 and became a professor of Center for Information and Media Studies, Nagoya Institute of Technology in 2002. He has joined Chubu University (Japan) as a professor since 2004 and he has acted the head of Graduate Program of Computer Science, Chubu University. In the meanwhile, he has been a visiting researcher of Laboratory of Computational Intelligence of UBC Computer Science, Canada since 1991. He has also been a research collaborator with Indian Institute of Technology Guwahati (IITG) since 2010 and the same with Dept. of Computer Engineering, Chulalongkorn University (Thailand) since 2014. He has also been a research collaborator with Harbin University of Science and Technology (HUST), China since 2014. In the research of medical images, he has collaborated with Dept. of Gastroenterology, Aichi Medical University (Japan) since 2010 to develop the endoscope research project and with Nagoya Institute of Technology and Dept. of Biomedical Sciences, Chubu University to develop the cell research project. His research interests include Computer Vision, Image Recognition, Neural Network, Bioinformatics, Biomedical Imaging and Application of Artificial Intelligence. He got KES 2008 Best Paper Award and KES 2013 Best Paper Award from KES International. He is also program committee member of international conferences, KES, KES IDT, IEEE/ACIS ICIS, CSII, ICPRAM, NCTA, IEEE BIBE, IEEE SITIS, HI-BI-BI, PATTERNS, SIGNAL, ACIVS etc. with reviewer of several kinds of journal papers including KES Journal, IEEE TNNLS, Springer MTAP (Multimedia Tools and Applications) and so on.

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21st Annual
KES Conference
Marseille, France
6-8 September 2017