Automatic classification infectious disease X-ray images based on deep learning algorithms

Abstract

Последние технологические достижения позволяют использовать глубокое обучения практически во всех сферах жизни. Поскольку методы глубокого обучения точны, они могут быть использовать в медицине для классификации и выявления различных заболеваний. SARSCoV2 можно диагностировать с помощью ПЦР и медицинской визуализации. Для диагностики SARSCoV2 используется рентгеновский снимок грудной клетки.

Recent technological advancements allow deep learning to be employed in practically every aspect of life.Because deep learning techniques are so precise, they can be utilized in medicine to classify and detect various diseases. The coronavirus (SARSCoV2) epidemic has recently affected global health systems. SARSCoV2 may be diagnosed via PCR and medical imaging. A chest X-ray is used to diagnose SARSCoV2. This paper proposes a deep learning technique to distinguish SARSCoV2 positive and normal cases. X-rays are the traditional method for diagnosing SARSCoV2, and deep learning models have proven their superior ability to classify medical images, which will be the tool in the future for the classification of any other epidemics that may appear in the future. In this study, not only are the deep learning models finetuned, but also the hyperparameters are fine-tuned, which significantly improves the performance of the fine-tuned deep learning models. we developed a system based on deep learning algorithms to clas