Гібридна згорткова мережа для обробки зображень рентгенівських знімків для виявлення захворювання COVID-19
DOI:
https://doi.org/10.35681/1560-9189.2022.24.2.274945Ключові слова:
дерева прийняття рішень, метод опорних векторів, класифікація, нейронна мережа, перцептронАнотація
Проведено аналіз різних моделей машинного навчання в розрізі діагностики ураження COVID-19 за рентгенівськими знімками легень пацієнтів. У результаті було розроблено модель, яка заснована на гібридній згортковій нейронній мережі, що здатна досягти точності класифікації у 91 %. Модель може використовуватись як допоміжний інструмент діагностики для медичного персоналу, що призведе до зменшення вірогідності лікарської помилки
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