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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...

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Detalles Bibliográficos
Autores principales: Eapen, Bell Raj, Kaliyadan, Feroze, Ashique, Karalikkattil T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054111/
https://www.ncbi.nlm.nih.gov/pubmed/35488074
http://dx.doi.org/10.1007/s10278-022-00636-5
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author Eapen, Bell Raj
Kaliyadan, Feroze
Ashique, Karalikkattil T
author_facet Eapen, Bell Raj
Kaliyadan, Feroze
Ashique, Karalikkattil T
author_sort Eapen, Bell Raj
collection PubMed
description 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.
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spelling pubmed-90541112022-05-02 DICODerma: A Practical Approach for Metadata Management of Images in Dermatology Eapen, Bell Raj Kaliyadan, Feroze Ashique, Karalikkattil T J Digit Imaging Commentary 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. Springer International Publishing 2022-04-29 2022-10 /pmc/articles/PMC9054111/ /pubmed/35488074 http://dx.doi.org/10.1007/s10278-022-00636-5 Text en © The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine 2022
spellingShingle Commentary
Eapen, Bell Raj
Kaliyadan, Feroze
Ashique, Karalikkattil T
DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
title DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
title_full DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
title_fullStr DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
title_full_unstemmed DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
title_short DICODerma: A Practical Approach for Metadata Management of Images in Dermatology
title_sort dicoderma: a practical approach for metadata management of images in dermatology
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054111/
https://www.ncbi.nlm.nih.gov/pubmed/35488074
http://dx.doi.org/10.1007/s10278-022-00636-5
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