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Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases.
Danesh, Hajar; Steel, David H; Hogg, Jeffry; Ashtari, Fereshteh; Innes, Will; Bacardit, Jaume; Hurlbert, Anya; Read, Jenny C A; Kafieh, Rahele.
Affiliation
  • Danesh H; School of Advanced Technologies in Medicine, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Isfahan, Iran.
  • Steel DH; Sunderland Eye Infirmary, Sunderland, Tyne and Wear, UK.
  • Hogg J; Centre for Transformative Neuroscience and Institute of Biosciences, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
  • Ashtari F; Royal Victoria Infirmary Eye Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, Newcastle Upon Tyne, UK.
  • Innes W; Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK.
  • Bacardit J; Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Hurlbert A; Royal Victoria Infirmary Eye Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, Newcastle Upon Tyne, UK.
  • Read JCA; School of Computing, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
  • Kafieh R; School of Computing, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
Transl Vis Sci Technol ; 11(10): 10, 2022 10 03.
Article in En | MEDLINE | ID: mdl-36201202
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neuromyelitis Optica / Neurodegenerative Diseases / Multiple Sclerosis Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Transl Vis Sci Technol Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neuromyelitis Optica / Neurodegenerative Diseases / Multiple Sclerosis Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Transl Vis Sci Technol Year: 2022 Document type: Article Affiliation country: Country of publication: