DICODerma: A Practical Approach for Metadata Management of Images in Dermatology.
Clinical images are vital for diagnosing and monitoring skin diseases, and their importance has increased with the growing popularity of machine learning. Lack of standards has stifled innovation in dermatological imaging, unlike other image-intensive specialties such as radiology. We investigate th...
| Publicado en: | Journal of Digital Imaging Vol. 35; no. 5; pp. 1231 - 1238 |
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| Autores principales: | , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2022
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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=159758935&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159758935 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Oct2022 vid: 35 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159758935 156578243 159758935 159758935 10.1007/s10278-022-00636-5 159758935 ppf: 1231 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: DICODerma: A Practical Approach for Metadata Management of Images in Dermatology. aug: au: Eapen, Bell Raj Kaliyadan, Feroze Ashique, Karalikkattil T affil: McMaster University, 1280 Main Street West, L8S 4L8, Hamilton, Ontario, Canada sug: subj: Metadata Data Management DICOM Dermatology Machine Learning Image Processing, Computer Assisted ab: Clinical images are vital for diagnosing and monitoring skin diseases, and their importance has increased with the growing popularity of machine learning. Lack of standards has stifled innovation in dermatological imaging, unlike other image-intensive specialties such as radiology. We investigate the meta-requirements for utilizing the popular DICOM standard for metadata management of images in dermatology. We propose practical design solutions and provide open-source tools to integrate dermatologists' workflow with enterprise imaging systems. Using the tool, dermatologists can tag, search, organize and convert clinical images to the DICOM format. We believe that our less disruptive approach will improve the adoption of standards in the specialty. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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