DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Park, Song-Bai | - |
dc.contributor.advisor | 박송배 | - |
dc.contributor.author | Han, Ki-Jun | - |
dc.contributor.author | 한기준 | - |
dc.date.accessioned | 2011-12-14T02:09:25Z | - |
dc.date.available | 2011-12-14T02:09:25Z | - |
dc.date.issued | 1981 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=63078&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/38811 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 산업전자공학과, 1981.2, [ [ii], 47 p. ] | - |
dc.description.abstract | This paper describes an automated classification of the leukocyte into 4 categories (Lymphocyte, Segmented Neutrophil, Band Neutrophil, Eosinphil). The following 2 processings were performed by software in order to extract the features of a leukocyte. 1. the elimination of the red cells 2. the separation of a leukocyte into nucleus and cytoplasm The features were measures of such visual concepts as nucleus area, nucleus shape, nucleus intensity, cytoplasm area, cytoplasm intensity, and cell perimeter. A minimum distance classifier was designed by a training set of 42 cells. Tests on an independent testing set of 27 cells showed classification errors on the order of 26 percent. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.title | (An) automatic white blood cell differential counter : software | - |
dc.title.alternative | software | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 63078/325007 | - |
dc.description.department | 한국과학기술원 : 산업전자공학과, | - |
dc.identifier.uid | 000793582 | - |
dc.contributor.localauthor | Park, Song-Bai | - |
dc.contributor.localauthor | 박송배 | - |
dc.title.subtitle | software | - |
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