2014 Fiscal Year Final Research Report
Application of text mining techniques and image analysis in pathology diagnosis
Project/Area Number |
25670180
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Human pathology
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Research Institution | Kitasato University |
Principal Investigator |
HARA Atsuko 北里大学, 医学部, 講師 (10276123)
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Project Period (FY) |
2013-04-01 – 2015-03-31
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Keywords | 病理診断 / テキストマイニング解析 / 画像解析 / 診断支援システム |
Outline of Final Research Achievements |
We have developed a pathological information data base system and a diagnostic processing model with the use of pathology reports and images of digitized specimens. We first described an algorithm to enable the numeric transformation of pathology reports using both text mining and statistical analysis. Then, pathological diagnosis supporting system was provided, containing, (1) extraction and representation of the similar archival report, (2) calculation of probabilities for possible diseases, (3) consistency verification between diagnosis and details of the reports. Images of digitized specimen were divided into many small images and Wavelet transformation was performed. They were taken as training data and identified by pattern recognition by the K-nearest neighbour method. The result of this identification was used as a feature vector for a specimen image. Similar images were retrieved by comparing the feature vectors of the targeted images and the specimen images in the database.
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Free Research Field |
病理学
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