(An) automatic white blood cell differential counter : software : softwaresoftware

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 534
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorPark, Song-Bai-
dc.contributor.advisor박송배-
dc.contributor.authorHan, Ki-Jun-
dc.contributor.author한기준-
dc.date.accessioned2011-12-14T02:09:25Z-
dc.date.available2011-12-14T02:09:25Z-
dc.date.issued1981-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=63078&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/38811-
dc.description학위논문(석사) - 한국과학기술원 : 산업전자공학과, 1981.2, [ [ii], 47 p. ]-
dc.description.abstractThis 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.languageeng-
dc.publisher한국과학기술원-
dc.title(An) automatic white blood cell differential counter : software-
dc.title.alternativesoftware-
dc.typeThesis(Master)-
dc.identifier.CNRN63078/325007-
dc.description.department한국과학기술원 : 산업전자공학과, -
dc.identifier.uid000793582-
dc.contributor.localauthorPark, Song-Bai-
dc.contributor.localauthor박송배-
dc.title.subtitlesoftware-
Appears in Collection
EE-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0