Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Noriko, Inaoka"'
Publikováno v:
IBM Systems Journal. 46:115-133
This paper describes MedTAKMI-CDI, an online analytical processing system that enables the interactive discovery of knowledge for clinical decision intelligence (CDI). CDI supports decision making by providing in-depth analysis of clinical data from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0712e5342a343b1b54b97ca864e40825
https://doi.org/10.1147/sj.461.0115
https://doi.org/10.1147/sj.461.0115
Autor:
Atsushi Kagiyama, Kimio Matsuura, Y. Narita, Toshiji Saibara, Yoshiyasu Okuhara, Saburo Onishi, Noriko Inaoka, Yasuhiro Kitazoe, Yukio Kurihara
Publikováno v:
Journal of Medical Systems. 23:377-387
A new type of medical information system named Problem Mapping System (P-Map) has been developed, which aids physicians with solving patients' problems. With this system, physicians can define the problems of in-patients, monitor their progress clear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207ea9b2a0404d04ae52c1113002aab0
https://doi.org/10.1023/a:1020581201484
https://doi.org/10.1023/a:1020581201484
Publikováno v:
INDUSTRIAL HEALTH. 28:41-52
The validity of function tests on the upper extremities as prognostic tools in vibration syndrome was evaluated over a sequence of observation periods. The subjects examined were 672 forest workers using chain saws who had had some complaints and who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4398a5f6f25b2f1f60ad1d97af5c329e
https://doi.org/10.2486/indhealth.28.41
https://doi.org/10.2486/indhealth.28.41
Publikováno v:
Medical Imaging: Image Processing
This paper describes a computerized system of tumor detection for lung cancer diagnosis. Through the ten years study, we developed some key algorithms for computer-aided diagnosis. The most important algorithm is a filter to detect suspicious shadows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9239b70c8d856069ebe609a393f23b66
https://doi.org/10.1117/12.237912
https://doi.org/10.1117/12.237912
Publikováno v:
Medical Imaging VI: Image Processing.
This paper describes a method for segmentation and recognition of hepatic blood vessels from axial MR image sequences. We propose a method of accurate segmentation of blood vessel components, and recognition of the blood vessel structure by utilizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::066ed59c4f18a2397533cdfd1035e068
https://doi.org/10.1117/12.59460
https://doi.org/10.1117/12.59460
Autor:
Hirotsugu Takabatake, Hiroshi Natori, Akira Suzuki, Masaki Mori, Noriko Inaoka, Soichi Sasaoka, Hideo Suzuki
Publikováno v:
Medical Imaging VI: Image Processing.
This paper describes a modified system for automatic detection of lung nodules by means of chest x ray image processing techniques. The objective of the system is to help radiologists to improve their accuracy in cancer detection. It is known from re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f4c5053f70f95dc0c6fc6e6796e8788
https://doi.org/10.1117/12.59466
https://doi.org/10.1117/12.59466
Publikováno v:
Biomedical Image Processing II.
This paper presents a knowledge-based method for automatic reconstruction and recognition of pulmonary blood vessels from chest x-ray CT images with 10-mm thickness. The system has four main stages: (1) automatic extraction and segmentation of blood
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0790405ea7e3d8152d18850c60ee3f38
https://doi.org/10.1117/12.44279
https://doi.org/10.1117/12.44279
Publikováno v:
Biomedical Image Processing II.
This paper describes a system for automatic detection of lung nodules by means of digital image-processing techniques. The objective of the system is to help chest physicians to improve their accuracy of detection. For detecting lung nodules in chest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc8fbc3d3916f148d6ef4eb290a362cc
https://doi.org/10.1117/12.44289
https://doi.org/10.1117/12.44289
Publikováno v:
熊本大学教育工学センター紀要. 5:117-125
This paper reports upon a management and analysis system of school health data, which we have been developing in Kumamoto University using personal computers. As a concrete example we have provided a procedure for preparing result tables of student h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::56ede2ceba2afb651f19c6fa980de60f
http://hdl.handle.net/2298/20446
http://hdl.handle.net/2298/20446
Conference
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