Yoshihiro Mitani

According to our database, Yoshihiro Mitani authored at least 25 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Image Correction Methods for Regions of Interest in Liver Cirrhosis Classification on CNNs.

Yoshihiro Mitani, Robert B. Fisher, Yusuke Fujita, Yoshihiko Hamamoto, Isao Sakaida

Sensors, 2022

Evaluation of feature extraction methods with ensemble learning for breast cancer classification.

Yuki Ono, Yoshihiro Mitani

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

An evaluation of classifiers for reading resistor colors.

Yoshihiro Mitani, Wataru Yoshimura, Yoshihiko Hamamoto

Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

Effects of transfer learning for handwritten digit classification in a small training sample size situation.

Yoshihiro Mitani, Naoki Yamaguchi, Yusuke Fujita, Yoshihiko Hamamoto

Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

2020

Effect of an Augmentation on CNNs in Classifying a Cirrhosis Liver on B-Mode Ultrasound Images.

Yoshihiro Mitani, Robert B. Fisher, Yusuke Fujita, Yoshihiko Hamamoto, Isao Sakaida

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

2017

Training sample selection based on self-training for liver cirrhosis classification using ultrasound images.

Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai, Isao Sakaida

Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

2016

Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images.

Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai, Isao Sakaida

Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

2015

A study of pupil detection and tracking by image processing techniques for a human eye-computer interaction system.

Ryo Shimata, Yoshihiro Mitani, Tsumoru Ochiai

Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

2013

A note of liver cirrhosis classification on M-mode ultrasound images by higher-order local auto-correlation features.

K. Fujino, Yoshihiro Mitani, Takaya Hayashi, Yusuke Fujita, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai, Isao Sakaida

Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

2012

The Use of a Local Histogram Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography.

Yoshihiro Mitani, Yusuke Fujita, Naofumi Matsunaga, Yoshihiko Hamamoto

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2008

A Method for Reading a Resistor by Image Processing Techniques.

Yoshihiro Mitani, Yuuki Sugimura, Yoshihiko Hamamoto

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2006

A local mean-based nonparametric classifier.

Yoshihiro Mitani, Yoshihiko Hamamoto

Pattern Recognit. Lett., 2006

A Method for Crack Detection on a Concrete Structure.

Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2004

A Study on Nonparametric Classifiers for a CAD System of Diffuse Lung Opacities in Thin-Section Computed Tomography Images.

Yoshihiro Mitani, Yusuke Fujita, Naofumi Matsunaga, Yoshihiko Hamamoto

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Artificial Images for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography Images.

Yoshihiro Mitani, Naofumi Matsunaga, Yoshihiko Hamamoto

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2002

Combining the Gabor and Histogram Features for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography.

Yoshihiro Mitani, H. Yasuda, S. Kido, Kazuhiro Ueda, Naofumi Matsunaga, Yoshihiko Hamamoto

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000

A Gabor filter-based classification for diffuse lung opacities in thin-section computed tomography images.

Yoshihiro Mitani, H. Hirayama, H. Yasuda, S. Kido, Yoshihiko Hamamoto, Kazuhiro Ueda, Naofumi Matsunaga

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Use of Bootstrap Samples in Quadratic Classifier Design.

Takashi Miyamoto, Yoshihiko Hamamoto, Yoshihiro Mitani

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Classifier Design Based on the Use of Nearest Neighbor Samples.

Yoshihiro Mitani, Yoshihiko Hamamoto

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998

A gabor filter-based method for recognizing handwritten numerals.

Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Yoshihiro Mitani, Shingo Tomita

Pattern Recognit., 1998

A Bootstrap-Based Learning with the Cross Validation.

Yoshihiro Mitani, Yoshihiko Hamamoto

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1996

Evaluation of the Noise Injection in High Dimensions.

Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of IAPR Workshop on Machine Vision Applications, 1996

A Note on the Generalization Error in Neural Networks.

Yoshihiko Hamamoto, Toshinori Hase, Yoshihiro Mitani, Shingo Tomita

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

Evaluation of an anti-regularization technique in neural networks.

Yoshihiko Hamamoto, Yoshihiro Mitani, H. Ishihara, Toshinori Hase, Shingo Tomita

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Use of bootstrap samples in designing artificial neural network classifiers.

Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995