SCREEN-DR: Software Architecture for the Diabetic Retinopathy Screening.
Diabetic Retinopathy (DR) is a common complication of diabetes that may lead to blindness if not treated. However, since DR evolves without any symptoms in the initial stages, early detection and treatment can only be achieved through routine checks. This article presents the collaborative platform...
| Publicado en: | Studies in Health Technology & Informatics Vol. 247; pp. 396 - 401 |
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| Autores principales: | , , , |
| Formato: | diagnostic images tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2018
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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=129542612&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129542612 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2018 vid: 247 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 129542612 129542612 129542612 10.3233/978-1-61499-852-5-396 129542612 ppf: 396 ppct: 5 formats: tig: atl: SCREEN-DR: Software Architecture for the Diabetic Retinopathy Screening. aug: au: PEDROSA, Micael SILVA, Jorge Miguel MATOS, Sérgio COSTA, Carlos affil: DETI/IEETA, University of Aveiro, Portugal sug: subj: Diabetic Retinopathy Prevention and Control Image Interpretation, Computer Assisted Software Design Algorithms DICOM Protocols Picture Archiving and Communication Systems ab: Diabetic Retinopathy (DR) is a common complication of diabetes that may lead to blindness if not treated. However, since DR evolves without any symptoms in the initial stages, early detection and treatment can only be achieved through routine checks. This article presents the collaborative platform of the SCREEN-DR project that promotes partnership between physicians and researchers in the scope of a regional DR screening program. The role of researchers is to create classification algorithms to evaluate image quality, discard non-pathological cases, locate possible lesions and grade DR severity. Physicians are responsible for annotating datasets, including the visual delineation of lesions. The collaborative platform collects the studies, indexes the images metadata, and manages the creation of datasets and the respective annotation process. An advanced searching mechanism supports multimodal queries over annotated datasets and exporting of results for feeding artificial intelligence algorithms. pubtype: Academic Journal doctype: diagnostic images tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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