Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/2508
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Veena Mohan Bhajammanavar | en_US |
dc.date.accessioned | 2008-09-17T09:04:29Z | |
dc.date.available | 2008-09-17T09:04:29Z | |
dc.date.copyright | 2002 | en_US |
dc.date.issued | 2002 | |
dc.identifier.uri | http://hdl.handle.net/10356/2508 | |
dc.description.abstract | In this thesis, the work is focused on developing computer aided methods for applications in mammography. Towards this end, we have developed new approaches in image processing on the basis of properties of mammographic images to detect the microcalcifications and classify them as either malignant or benign. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences | |
dc.title | Image processing of the digital mammogram for segmentation and characterization of microcalcifications | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Kwoh, Chee Keong | en_US |
dc.contributor.school | School of Computer Engineering | en_US |
dc.description.degree | Master of Engineering (SCE) | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | SCSE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
VeenaMohanBhajammanavar02.pdf Restricted Access | Main report | 12.46 MB | Adobe PDF | View/Open |
Page view(s) 50
523
Updated on Mar 28, 2024
Download(s)
4
Updated on Mar 28, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.