Ultrasound kidney image analysis for computerized disorder identification and classification using content descriptive power spectral features.
| Publicado en: | Journal of Medical Systems Vol. 31; no. 5; pp. 307 - 318 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Oct2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105845359&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105845359 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Oct2007 vid: 31 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105845359 2009665637 10.1007/s10916-007-9068-x NLM17918683 105845359 ppf: 307 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Ultrasound kidney image analysis for computerized disorder identification and classification using content descriptive power spectral features. aug: au: Bommanna Raja K Madheswaran M Thyagarajah K affil: Centre for Research and Development, Department of Electronics and Communication Engineering , PSNA College of Engineering and Technology , Dindigul 624 622 TamilNadu India sug: subj: Image Interpretation, Computer Assisted Kidney Diseases Classification Kidney Ultrasonography Adult Female Kidney Diseases Ultrasonography Male Middle Age Human Adult: 19-44 years Middle Aged: 45-64 years Female Male pubtype: Academic Journal doctype: research Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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