Presentation 2003/10/2
Development of Rules of Medical Knowledge for Automatic Diagnosis System of Cancer Using PET Images
Rei HASHIMOTO, Jun ARAI, Hiroshi ARISAWA, Naoyoshi TAMURA, Masako Suzuki, Tomio INOUE,
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Abstract(in English) In recent years, the diagnosis of cancer using whole body PET images drew the attention because it can find small cancer, discriminate a benign or a malignant tumor and so on. However, this diagnosis way imposes a burden on doctors because they must diagnose about 300 PET images a patient. So the automatic diagnosis system is wanted. This paper shows one of ways that develops of rules of medical knowledge aiming at development of automatic diagnosis system of cancer that re-create the process of a doctor's diagnosis.
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Keyword(in English) Automated Diagnosis System / Rule base / Medical Knowledge / PET / DICOM
Paper # DE2003-112,DC2003-25
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Committee DC
Conference Date 2003/10/2(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of Rules of Medical Knowledge for Automatic Diagnosis System of Cancer Using PET Images
Sub Title (in English)
Keyword(1) Automated Diagnosis System
Keyword(2) Rule base
Keyword(3) Medical Knowledge
Keyword(4) PET
Keyword(5) DICOM
1st Author's Name Rei HASHIMOTO
1st Author's Affiliation Graduate School of Environment and Information Sciences, Yokohama National University()
2nd Author's Name Jun ARAI
2nd Author's Affiliation Yokohama National University, Division of Electrical and Computer Engineering
3rd Author's Name Hiroshi ARISAWA
3rd Author's Affiliation Graduate School of Environment and Information Sciences, Yokohama National University
4th Author's Name Naoyoshi TAMURA
4th Author's Affiliation Graduate School of Environment and Information Sciences, Yokohama National University
5th Author's Name Masako Suzuki
5th Author's Affiliation Yokohama City University. School of Medicine, Department of Radiology
6th Author's Name Tomio INOUE
6th Author's Affiliation Graduate School of Medicine, Yokohama City University
Date 2003/10/2
Paper # DE2003-112,DC2003-25
Volume (vol) vol.103
Number (no) 358
Page pp.pp.-
#Pages 6
Date of Issue