Please use this identifier to cite or link to this item:
https://doi.org/10.1016/0010-4825(96)00004-2
DC Field | Value | |
---|---|---|
dc.title | Image analysis of tissue sections | |
dc.contributor.author | Ong, S.H. | |
dc.contributor.author | Jin, X.C. | |
dc.contributor.author | Sinniah, R. | |
dc.contributor.author | Jayasooriah | |
dc.date.accessioned | 2012-02-01T09:15:59Z | |
dc.date.available | 2012-02-01T09:15:59Z | |
dc.date.issued | 1996 | |
dc.identifier.citation | Ong, S.H., Jin, X.C., Sinniah, R., Jayasooriah (1996). Image analysis of tissue sections. Computers in Biology and Medicine 26 (3) : 269-279. ScholarBank@NUS Repository. https://doi.org/10.1016/0010-4825(96)00004-2 | |
dc.identifier.issn | 00104825 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/30519 | |
dc.description.abstract | The use of computers for the automated image analysis of tissue sections is becoming increasingly important. The paper presents an overview of current methodologies and summarizes developments in this field. A brief introduction followed by a survey is provided in each of these areas: image transformation, image segmentation and classification. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/0010-4825(96)00004-2 | |
dc.source | Scopus | |
dc.subject | automated microscopy | |
dc.subject | classification | |
dc.subject | histology | |
dc.subject | image analysis | |
dc.subject | image segmentation | |
dc.type | Review | |
dc.contributor.department | PATHOLOGY | |
dc.contributor.department | ELECTRICAL ENGINEERING | |
dc.description.doi | 10.1016/0010-4825(96)00004-2 | |
dc.description.sourcetitle | Computers in Biology and Medicine | |
dc.description.volume | 26 | |
dc.description.issue | 3 | |
dc.description.page | 269-279 | |
dc.description.coden | CBMDA | |
dc.identifier.isiut | A1996UN16000010 | |
Appears in Collections: | Staff Publications |
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