CLASSIFICATION of CELLS INFECTED with the MALARIA PARASITE with RESNET ARCHITECTURES

İsmail AKGÜL; Volkan KAYA

Makale detayları

CLASSIFICATION of CELLS INFECTED with the MALARIA PARASITE with RESNET ARCHITECTURES

Yazarlar:

İsmail AKGÜL | Volkan KAYA

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Scientific Reports-A 2022 Issue 048, pp.42-54

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000495270

Sıklık:

Üç Aylık

eISSN:

2687-6167

Özet:

 

Malaria is a disease that causes a parasite called plasmodium to be transmitted to humans as a result of the bite of female anopheles’ mosquitoes. Malaria is detected by examining the blood sample taken from the patient as a result of a microbiological examination under a microscope by specialist physicians. Although microscopy is widely used, its efficiency is low because it is time-consuming and depends on the interpretation of the specialist physician. In recent years, deep learning methods used in the field of computer vision increase the efficiency of specialist physicians by making a significant contribution to the decision-making process in solving real-life problems. In this study, ResNet architectures were preferred to quickly classify the malaria parasite using deep learning methods. For the training and testing of ResNet architectures, a dataset consisting of a total of 27558 red blood cell images containing 13779 parasitized and 13779 uninfected were used. Using this dataset, ResNet architectures were compared. As a result of the comparison, the best success accuracy (94.09%) was obtained with the ResNet-50 v2 model.

Makale detayları

CLASSIFICATION of CELLS INFECTED with the MALARIA PARASITE with RESNET ARCHITECTURES

Yazarlar: İsmail AKGÜL | Volkan KAYA

Yayıncı: Kütahya Dumlupinar University

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Scientific Reports-A 2022 Issue 048, pp.42-54

Belge Tipi: Makale

Yayın Tarihi: 3/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000495270

Sıklık: Üç Aylık

eISSN: 2687-6167

Sayı

Yazarlar:

İsmail AKGÜL | Volkan KAYA

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Scientific Reports-A 2022 Issue 048, pp.42-54

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000495270

Sıklık:

Üç Aylık

eISSN:

2687-6167