Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/3515
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Banerjee, S | - |
dc.contributor.author | Mukherjee, D P | - |
dc.contributor.author | Dutta Majumder, D | - |
dc.date.accessioned | 2012-04-23T20:33:56Z | - |
dc.date.available | 2012-04-23T20:33:56Z | - |
dc.date.issued | 1999 | - |
dc.identifier.citation | Information science,V115,P261-279 | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/3515 | - |
dc.language.iso | en | en_US |
dc.subject | Segmentation | en_US |
dc.subject | Data fusion | en_US |
dc.subject | Multimodality imaging | en_US |
dc.subject | Fuzzy c-means | en_US |
dc.title | Fuzzy c-means approach to tissue classification in multimodal medical imaging | en_US |
dc.type | Article | en_US |
Appears in Collections: | Electronics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Binder3.pdf | 2.37 MB | Adobe PDF | View/Open |
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