Publications
Detailed Information
Computer-aided prostate cancer detection using texture features and clinical features in ultrasound image
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Seok Min | - |
dc.contributor.author | Lee, Hak Jong | - |
dc.contributor.author | Choi, Jin Young | - |
dc.date.accessioned | 2010-06-27T23:58:32Z | - |
dc.date.available | 2010-06-27T23:58:32Z | - |
dc.date.issued | 2008-03-07 | - |
dc.identifier.citation | J Digit Imaging. 21 Suppl 1:S121-S133 | en |
dc.identifier.issn | 1618-727X (Electronic) | - |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18322751 | - |
dc.identifier.uri | http://www.springerlink.com/content/55230724v15htk5r/fulltext.pdf | - |
dc.identifier.uri | https://hdl.handle.net/10371/67856 | - |
dc.description.abstract | In this paper, we propose a new prostate detection method using multiresolution autocorrelation texture features and clinical features such as location and shape of tumor. With the proposed method, we can detect cancerous tissues efficiently with high specificity (about 90-95%)and high sensitivity (about 92-96%) by the measurement of the number of correctly classified pixels. Multiresolution autocorrelation can detect cancerous tissues efficiently, and clinical knowledge helps to discriminate the cancer region by location and shape of the region and increases specificity. The support vector machine is used to classify tissues based on those features. The proposed method will be helpful in formulating a more reliable diagnosis, increasing diagnosis efficiency. | en |
dc.language.iso | en | en |
dc.publisher | Springer Verlag | en |
dc.subject | Decision Support Techniques | en |
dc.subject | Diagnosis, Computer-Assisted/instrumentation/methods | en |
dc.subject | Fuzzy Logic | en |
dc.subject | Humans | en |
dc.subject | Image Processing, Computer-Assisted/*methods | en |
dc.subject | Male | en |
dc.subject | Pattern Recognition, Automated/*methods | en |
dc.subject | Prostatic Neoplasms/diagnosis/*ultrasonography | en |
dc.subject | Sensitivity and Specificity | en |
dc.subject | Ultrasonography, Doppler/methods | en |
dc.subject | Image Interpretation, Computer-Assisted | - |
dc.title | Computer-aided prostate cancer detection using texture features and clinical features in ultrasound image | en |
dc.type | Article | en |
dc.contributor.AlternativeAuthor | 한석민 | - |
dc.contributor.AlternativeAuthor | 이학종 | - |
dc.contributor.AlternativeAuthor | 최진영 | - |
dc.identifier.doi | 10.1007/s10278-008-9106-3 | - |
- Appears in Collections:
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.