Classification of serum protein and immunofixation electrophoresis images by computer vision-based deep learning models: A single- and dual-modality study​Maide Hacer Alagöz, Simge Erdem, Poyraz Doğan, İbrahim Utku Derman, Mehmet Güven Günver, Özlem Çakır Madenci, Evin Ademoğlu1Kartal Dr Lütfi Kırdar City Hospital, Biochemistry Laboratory, University of Health Sciences, İstanbul, Türkiye2İstanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, İstanbul University, İstanbul, Türkiye3İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye4Faculty of Engineering, Boğaziçi University, İstanbul, Türkiye5İstanbul Faculty of Medicine, Department of Biostatistics, İstanbul University Türkiye, İstanbul, Türkiye6İstanbul Faculty of Medicine, Department of Medical Biochemistry, İstanbul University, İstanbul, Türkiyeon May 13, 2026 at 11:19 am

Annals of Clinical Biochemistry, Ahead of Print.
ObjectivesThe objective of this study was to develop deep learning models for the automated classification of serum protein electrophoresis (SPE) and immunofixation electrophoresis (IFE) images into oncologic, non-oncologic, and healthy categories, and to …

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