ICTACT Journal on Image and Video Processing

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Design and Analysis on Medical Image Classification for Dengue Detection using Artificial Neural Network Classifier


Affiliations
1 Department of Computer Science and Engineering, Government College of Engineering, Thirssur, India
2 Department of Computer Science and Engineering, IES College of Engineering, India
     

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Dengue is regarded as a serious threats to humanity, globally and this is a vital disease with huge spreading of virus that affects the health of humans. The virus is spreading at a rapid rate through mosquitoes that even may kill the one who is affected with dengue. In this paper, we develop a quick response system that certainly finds the disease through a faster validation process. The study uses artificial neural network (ANN) as a deep learning model that classifies and predicts the condition or the infection status of a patient. The study uses a preprocessing model and a feature extraction model to prepare the image datasets for classification. The simulation is conducted to validate the effectiveness of the model over dengue image datasets i.e. the blood samples of humans. The validation shows that the proposed method effectively classifies the patients in a faster manner than the other deep learning models.

Keywords

Machine Learning, Dengue, Classification, Diagnosis.
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  • Design and Analysis on Medical Image Classification for Dengue Detection using Artificial Neural Network Classifier

Abstract Views: 276  |  PDF Views: 0

Authors

P. K. Swaraj
Department of Computer Science and Engineering, Government College of Engineering, Thirssur, India
G. Kiruthiga
Department of Computer Science and Engineering, IES College of Engineering, India

Abstract


Dengue is regarded as a serious threats to humanity, globally and this is a vital disease with huge spreading of virus that affects the health of humans. The virus is spreading at a rapid rate through mosquitoes that even may kill the one who is affected with dengue. In this paper, we develop a quick response system that certainly finds the disease through a faster validation process. The study uses artificial neural network (ANN) as a deep learning model that classifies and predicts the condition or the infection status of a patient. The study uses a preprocessing model and a feature extraction model to prepare the image datasets for classification. The simulation is conducted to validate the effectiveness of the model over dengue image datasets i.e. the blood samples of humans. The validation shows that the proposed method effectively classifies the patients in a faster manner than the other deep learning models.

Keywords


Machine Learning, Dengue, Classification, Diagnosis.

References