Automated tissue classification framework for reproducible chronic wound assessment.
| Publicado en: | BioMed Research International Vol. 2014; pp. 851582 - 851583 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
|
| 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=103839726&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103839726 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2014 vid: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103839726 103839726 2012682641 NLM25114925 PMC4121018 103839726 ppf: 851582 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Automated tissue classification framework for reproducible chronic wound assessment. aug: au: Mukherjee, Rashmi Manohar, Dhiraj Dhane Das, Dev Kumar Achar, Arun Mitra, Analava Chakraborty, Chandan affil: School of Medical Science & Technology, Indian Institute of Technology, Kharagpur, West Bengal 721302, India. sug: subj: Image Processing, Computer Assisted Methods Wounds and Injuries Classification Wounds and Injuries Pathology Probability Burns Chronic Disease Diabetic Foot Human Photography Algorithms pubtype: Academic Journal doctype: research Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|