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Real-time detection of acromegaly from facial images with artificial intelligence.
Kizilgul, Muhammed; Karakis, Rukiye; Dogan, Nurettin; Bostan, Hayri; Yapici, Muhammed Mutlu; Gul, Umran; Ucan, Bekir; Duman, Elvan; Duger, Hakan; Cakal, Erman; Akin, Omer.
Affiliation
  • Kizilgul M; University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology, Ankara, Turkey.
  • Karakis R; Sivas Cumhuriyet University, Faculty of Technology, Software Engineering Department, Sivas, Turkey.
  • Dogan N; Selçuk University, Faculty of Technology, Computer Engineering Department, Konya, Turkey.
  • Bostan H; University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology, Ankara, Turkey.
  • Yapici MM; Ankara University, Elmadag Vocational School, Computer Technologies Department, Ankara, Turkey.
  • Gul U; University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology, Ankara, Turkey.
  • Ucan B; University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology, Ankara, Turkey.
  • Duman E; Burdur Mehmet Akif Ersoy University, Faculty of Technology, Software Engineering Department, Burdur, Turkey.
  • Duger H; University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology, Ankara, Turkey.
  • Cakal E; University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Endocrinology, Ankara, Turkey.
  • Akin O; TOBB ETU, Faculty of Science and Literature, Mathematics Department, Ankara, Turkey.
Eur J Endocrinol ; 188(1)2023 Jan 10.
Article in En | MEDLINE | ID: mdl-36747333
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acromegaly / Artificial Intelligence Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Eur J Endocrinol Journal subject: ENDOCRINOLOGIA Year: 2023 Document type: Article Affiliation country: Turquía Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acromegaly / Artificial Intelligence Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Eur J Endocrinol Journal subject: ENDOCRINOLOGIA Year: 2023 Document type: Article Affiliation country: Turquía Country of publication: Reino Unido