Lam Görüntülerinde Görü Dönüştürücü Tabanlı Kan Grubu Sınıflandırması

Year 2025, Volume: 29 Issue: 2, 268 - 277, 25.08.2025

Tansel Uyar

https://doi.org/10.19113/sdufenbed.1649624

Abstract

Özet: Kan, insan vücudunda oksijen ve besin taşınmasını sağlayan temel bir sıvıdır. Kazalar, kalıcı hematolojik hastalıklar veya cerrahi prosedürler durumunda, kaybedilen kan hacminin geri kazanılması için kan transfüzyonları zorunludur. Bu nedenle, herhangi bir kan transfüzyonundan önce hastanın kan grubunun belirlenmesi zorunludur. Kan grubu tespitinin güncel uygulamalarında, kan dolaşımındaki antijenlerin çökelmesini kolaylaştıran test serumlarının (Anti-A, Anti-B, Anti-D) kullanımı yaygın bir uygulama haline gelmiştir. Kan grupları, antijenlerin çökelmesine göre antijenlerin varlığının tespit edilmesiyle belirlenir. Slaytlardaki çökelmenin gözlemlenmesi laboratuvar uzmanı tarafından gerçekleştirilir. Ancak, bu gözlem süreci zorlu ve zaman alıcı olabilir ve uzun süreler boyunca sürekli dikkat gerektirebilir. Özetle, makine görüsü güncel otomatikleştirilmiş yaklaşımlarda yaygın bir araç olarak ortaya çıkmış ve bu süreçler için uzman yükünü azaltmıştır. Makine görüsü sürekli gelişen bir alan olmakla birlikte kullanılan en güncel yöntemlerden biri de görü dönüştürücülerinin kullanımıdır. Sunulan çalışmanın amacı, kan gruplarının ayrımı amacıyla görü dönüştürücülerini kullanarak kan gruplarının yüksek doğrulukta sınıflandırılmasını elde etmektir. Deneysel çalışmaların bulguları, görü dönüştürücülerinin kan gruplarının sınıflandırılmasında dikkate değer bir başarıya sahip olduğunu göstermiştir. Öte yandan, deneysel bulgular, Uyarlamalı Moment Tahmini optimizatörünün görü dönüştürücüleriyle birlikte kullanıldığında daha iyi sınıflandırma performansı elde ettiğini göstermiştir.

Keywords

Kan Grubu , Görüntü İşleme , Sınıflandırma , Görü Dönüştürücü

Vision Transformer-Based Blood Group Classification on Slide Images

Abstract

Blood is an essential fluid in the human body, enabling the transport of oxygen and nutrients. In cases of accidents, persistent hematological illnesses, or surgical procedures, blood transfusions are imperative for the restoration of lost blood volume. Therefore, it is imperative to ascertain the patient's blood type prior to any blood transfusion. In contemporary applications of blood group determination, the utilization of test serums (Anti-A, Anti-B, Anti-D) that facilitates the precipitation of antigens within the bloodstream has become a prevailing practice. Blood groups are determined by detecting the presence of antigens according to the precipitation of antigens. The observation of precipitation on slides is conducted by the laboratory specialist. However, this observation process can be arduous and time-consuming, requiring sustained attention for extended periods. Consequently, machine vision has emerged as a prevalent tool in contemporary automated approaches, mitigating the expert load required for these processes. Machine vision is a field that is constantly evolving, and one of the most current methods employed is the use of vision transformers. The objective of the present study was to achieve high-accuracy classification of blood groups by employing vision transformers for the purpose of discrimination. The findings of experimental studies have indicated the notable efficacy of vision transformers in the classification of blood groups. Furthermore, experimental findings have indicated that the Adaptive Moment Estimation optimizer when employed in conjunction with vision transformers attains better classification performance.

Keywords

Blood Group , Image Processing , Classification , Vision Transformer

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