Details of a Researcher - Tanaka, Toshiyuki

Tanaka, Toshiyuki

写真a

Affiliation: Faculty of Science and Technology, Department of Applied Physics and Physico-Informatics 基礎理工学専攻（Yagami）

Position: Professor

Related Websites

田中敏幸研究室ホームページ

External Links

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Profile Summary 【 Display / hide 】

'''''''Our research interest are analysis of medical images, personal authentication, nondestructive inspection, GPS and its application, acoustic signal processing. Computer aided diagnosis of tumor is studied as medical image processing, and face flabbiness measurement is also studied using 3D reconstruction method. Biometric authentication is studied as personal Identification. And reconstruction algorithm of X ray CT is studied as nondestructive inspection.'''''''

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Career 【 Display / hide 】

1989.04

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1993.03

慶應義塾大学, 理工学部計測工学科, 助手
1993.04

-

1996.03

慶應義塾大学, 理工学部計測工学科, 専任講師
1996.04

-

2003.03

慶應義塾大学, 理工学部物理情報工学科兼計測工学科, 専任講師
1997.04

-

2000.03

慶應義塾大学, 学生総合センター学生部門, 委員
1997.10

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2000.03

慶應義塾大学, 理工学部教育研究交流委員会, 委員

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Academic Background 【 Display / hide 】

1982.03

Keio University, Faculty of Engineering, 計測工学科

University, Graduated
1984.03

Keio University, Graduate School, Division of Science and Engineeri, 計測工学専攻

Graduate School, Completed, Master's course
1989.03

Keio University, Graduate School, Division of Science and Engineeri, 計測工学専攻

Graduate School, Completed, Doctoral course

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Academic Degrees 【 Display / hide 】

工学　, Keio University, 1989.03

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Research Areas 【 Display / hide 】

Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Measurement engineering (Measurement Engineering)
Life Science / Medical systems (Medical Systems)

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Research Keywords 【 Display / hide 】

global positioning system
biometric authentication
pattern recognition
signal processing
image processing

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Books 【 Display / hide 】

Fundamentals of Image Information Processing

田中敏幸, コロナ社, 2019.06, Page： 192
皮膚測定の評価法バイブル：顔の三次元再構成に基づくたるみ計測

田中敏幸, 技術情報協会, 2013.05

Scope: 第1章，第3節，pp.16-22
Advances in Telemedicine Applications in Various Medical Diciplines and Geographical Regions

TANAKA TOSHIYUKI, INTECH, 2011.03

Scope: 157-178
C言語プログラミング入門　C99対応

TANAKA TOSHIYUKI, コロナ社, 2009.09
Fundamentals of Numerical Method

TANAKA TOSHIYUKI, 2006.04

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Papers 【 Display / hide 】

Cancer Segmentation Methods of H&E Stain Images

Morita, Sota, Sakashita, Shingo, Ishii, Genichiro, Tanaka, Toshiyuki

The IUPESM World Congress on Medical Physics and Biomedical Engineering 2022 2022 190 - 190 2022.06

Research paper (international conference proceedings), Joint Work, Last author, Accepted
Virtual Immunostaining From HE-Staining Images By Image Processing

Tanaka, Toshiyuki, Takahashi, Ryosuke; Sakashita, Shingo, Ishii, Genichiro

（The IUPESM World Congress on Medical Physics and Biomedical Engineering 2022) 2022 150 - 150 2022.06

Research paper (international conference proceedings), Joint Work, Lead author, Accepted
Region extraction method for skin grafts via image analysis

Wada D., Kato S., Yamaguchi Y., Tanaka T.

Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 10 （ 1 ） 22 - 37 2022

Research paper (scientific journal), Joint Work, Corresponding author, Accepted, ISSN 21681163

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Dermal grafts are used for patients with severe burn injuries whose natural healing abilities are limited or exhausted. This paper proposes a method to segment burnt and grafted areas from images with meshed grafts. First, RGB colour input images are converted to images in the L*a*b* colour space. The transformed images are then segmented with the simple linear iterative clustering superpixel algorithm. Subsequently, the burnt and grafted areas are classified with a support vector machine, and the output area size is modified for all burnt areas. The segmentation results are compared with the areas identified by two dermatologists based on the concordance rate (CR), positive predictive value (PPV), sensitivity, and F-measure values. The proposed segmentation method yielded CRs equal to 84.3 % and 85.9 %, PPVs equal to 87.2 % and 87.9 %, sensitivities equal to 84.7 % and 86.4 %, and F-measure values equal to 85.8 % and 87.0 %. This study developed a segmentation method for classifying burnt and grafted areas from images with meshed grafts. The segmented areas obtained were significantly consistent with those identified by the two dermatologists.
- Access to Document (DOI)
Diagnosis support system for skin grafting using GrowCut with an automated seed selection

Ezaki K., Kato S., Yamaguchi Y., Tanaka T.

Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization （Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization) 2022

ISSN 21681163

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This paper deals with a method of segmenting skin and skin grafts using GrowCut. The previous lacks system usability because the evaluating physician needed approximately 100–200 mouse clicks for each image to acquire training data. Therefore, we propose a method to automate the acquisition of training data while maintaining the accuracy of domain segmentation from the previous study. Based on the proposed method, the ratio of the two areas-of-interest was calculated as the burn ratio and used to evaluate treatment quantitatively. The results show that the segmentation of skin and skin grafts is as accurate as by mouse clicks. We think that automating the acquisition of training data as preprocessing will improve the usability of the system.
- Access to Document (DOI)
Objective and quantitative measurement of skin micro-relief by image analysis and application in age-dependent changes

Wu Y., Tanaka T.

Skin Research and Technology （Skin Research and Technology) 27 （ 6 ） 1072 - 1080 2021.11

Research paper (scientific journal), Joint Work, Corresponding author, Accepted, ISSN 0909752X

　View Summary

Background: Skin micro-relief has been researched by a variety of devices and methods, which usually are expensive or complicated. On the other hand, skin micro-relief relates to quite a few parameters, and it is hard to evaluate all of them at the same time. In the study, all parameters related to skin micro-relief are extracted and evaluated by image analysis. Materials and Methods: Skin micro-relief evaluation was divided into four aspects: (a) Tamura features method was used to evaluate skin surface. (b) Morphological transform was applied to extract skin pores. (c) Watershed transform was applied to extract skin furrows. (d) labeling operation was used to evaluate the number, area and average area of skin closed polygons. Then, cheek images from 163 healthy Japanese females (0-70 years old) are analyzed to explore the age-dependent changes. Results: Most parameters increased as age went on with significant differences, such as skin surface coarseness, contrast, skin pore number, area, average area, skin furrow width, skin closed polygon area and skin closed polygon average area. Skin coarseness has a strong correlation with pore area. Conclusion: The method proposed in the study provided a comprehensive and effective assessment of skin micro-relief.
- Access to Document (DOI)

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Papers, etc., Registered in KOARA 【 Display / hide 】

Diagnosis supporting system of medical images by deep learning

Tanaka, Toshiyuki

学事振興資金研究成果実績報告書（慶應義塾大学) 2018
Study of image diagnostic support system using deep learning

Tanaka, Toshiyuki

学事振興資金研究成果実績報告書（慶應義塾大学) 2017
Precise measurement of nystagmus movement using image processing and the application to cause estimation of vertigo

Tanaka, Toshiyuki

科学研究費補助金研究成果報告書 2012
The networking study for advancing home rehabilitation

Tanaka, Toshiyuki

科学研究費補助金研究成果報告書 2011

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Reviews, Commentaries, etc. 【 Display / hide 】

肌の画像解析で顔の特徴を抽出するAIの開発

田中敏幸

Cosmetic Stage (技術情報協会) 2021年 ( 6月 ) 13 - 17 2021.06

Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Single Work, Lead author
顔画像におけるシワ領域抽出による年齢評価法

田中敏幸、山本隆裕

画像ラボ (日本工業出版) 31 ( 11 ) 30 - 35 2020.11

Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Joint Work
美容分野における顔画像処理の応用－顔の特徴点位置の自動検出－

田中敏幸, 森勇人, 嶽窯那月

画像ラボ (日本工業出版) 31 ( 10 ) 37 - 41 2020.10

Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Joint Work
X線CTの撮影原理

田中敏幸

計測と制御 58 ( 7 ) 509 - 513 2019.07

Article, review, commentary, editorial, etc. (scientific journal), Single Work
X線CTの原理・現状とさらなる画質の高品質化

田中敏幸

計測と制御 (計測自動制御学会) 56 ( 11 ) 874 - 879 2017.11

Article, review, commentary, editorial, etc. (scientific journal), Single Work

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Presentations 【 Display / hide 】

機械学習による生体画像解析について

田中敏幸

第11回国際ICT利用研究学会研究会,

2022.03
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Oral presentation (general)
画像解析による特徴量抽出に基づいたAI肌診断システム

田中敏幸

第12回化粧品開発展（アカデミックフォーラム）,

2022.01
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Public lecture, seminar, tutorial, course, or other speech, RX Japan株式会社
画像処理と深層学習によるマイクロサテライト不安定性の予測

藤井琢也，田中敏幸

第16回パーソナルコンピュータ利用技術学会全国大会,

2021.12
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Oral presentation (general)
ジャイロ効果を用いた二輪車の自立制御

平間暁，田中敏幸

第16回パーソナルコンピュータ利用技術学会全国大会,

2021.12
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Oral presentation (general)
深層学習と色差解消手法による肺癌生検組織標本の組織型分類

佐藤善彬，田中敏幸

第16回パーソナルコンピュータ利用技術学会全国大会,

2021.12
,
Oral presentation (general)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

斜めCT装置の開発に係る基本アルゴリズムの開発とそのプログラミングと実証テスト

2006.04

-

2006.12

コムスキャンテクノ(株), Joint research, No Setting
斜めCT装置の開発に係る基本アルゴリズムの開発とそのプログラミングと実証テスト

2006.01

-

2006.03

コムスキャンテクノ(株), Joint research, No Setting
カラーI.I.を利用した小動物腫瘍の悪性度判定の研究

2005.04

-

2006.03

アールテック(株), Joint research, No Setting
腕時計型PCによる腕静脈認証アルゴリズムの作成

2005.04

-

2006.03

ユニバーサルロボット(株), Joint research, No Setting
斜めCT装置の開発に係る基本アルゴリズムの開発

2004.01

-

2004.03

コムスキャンテクノ(株), Joint research, No Setting

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Intellectual Property Rights, etc. 【 Display / hide 】

楽譜生成装置

Date applied：２００７－１０１０４３ 2007.04

Patent, Joint
自動採譜装置および方法

Date applied：２００６－２８０６５０ 2006.10

Patent, Joint

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Awards 【 Display / hide 】

最優秀研究指導賞

田中敏幸, 2014.12, パーソナルコンピュータ利用技術学会, 画像処理による子宮頸癌の診断支援システム、サイノグラムに基づいたX線CT画像メタルアーチファクトの低減、年齢推定を用いた高齢者顔画像における男女判別率の向上

Type of Award： Other
研究奨励賞

川越ゑまい、田中敏幸, 2014.12, パーソナルコンピュータ利用技術学会, 乳がんたんぱく質発現解析の為の細胞核抽出

Type of Award： Award from Japanese society, conference, symposium, etc.
優秀研究指導賞

田中敏幸, 2014.12, パーソナルコンピュータ利用技術学会, 乳がんたんぱく質発現解析の為の細胞核抽出、逐次近似法を用いた少投影数X線CT画像の高画質化、胃癌の自動診断システム

Type of Award： Award from Japanese society, conference, symposium, etc.
ベストレビューワーアワード

田中敏幸, 2014.09, 生体医工学シンポジウム

Type of Award： Award from Japanese society, conference, symposium, etc.
CPDポイント賞

TANAKA TOSHIYUKI, 2013.09, 計測自動制御学会

Type of Award： Award from Japanese society, conference, symposium, etc.

　View Description

2012年度継続教育のポイント制度において学術研究活動や委員会活動を通じて自己研さんに励んだ。

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Courses Taught 【 Display / hide 】

INDEPENDENT STUDY ON FUNDAMENTAL SCIENCE AND TECHNOLOGY

2024
GRADUATE RESEARCH ON FUNDAMENTAL SCIENCE AND TECHNOLOGY 2

2024
GRADUATE RESEARCH ON FUNDAMENTAL SCIENCE AND TECHNOLOGY 1

2024
ELECTRONIC CIRCUITS AND THEIR EXERCISES

2024
BACHELOR'S THESIS

2024

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Courses Previously Taught 【 Display / hide 】

物理情報数学C

Keio University

2017.04

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2018.03
,
Autumn Semester, Lecture, Within own ｆaculty, 1h, 45people

フーリエ変換、ラプラス変換、z変換
医用画像工学

Keio University

2017.04

-

2018.03
,
Spring Semester, Lecture, Within own ｆaculty, 1h, 50people

医用画像
物理情報工学実験AB

Keio University

2017.04

-

2018.03
,
Spring Semester, Laboratory work/practical work/exercise, Within own ｆaculty, 3h, 40people

プログラミング、周辺機器、センサー
数値計算法

Keio University

2017.04

-

2018.03
,
Spring Semester, Lecture, Within own ｆaculty, 1h, 80people

数値解析、C言語、MATLAB
物理情報数学C

Keio University

2016.04

-

2017.03
,
Autumn Semester, Lecture, Within own ｆaculty, 1h, 60people

フーリエ変換、ラプラス変換、z変換