Діагностика вестибулярної шванноми на основі інтелектуальної обробки зображень МРТ
DOI:
https://doi.org/10.18372/1990-5548.84.20193Ключові слова:
вестибулярна шваннома, діагностичні та прогностичні біомаркери, МРТ-зображення, згорткова нейронна мережа, трансформатори, семантична сегментаціяАнотація
У дослідженні було визначено основні клінічні та діагностичні особливості захворювання, розглянуто сучасні методи діагностики шванноми, зокрема магнітно-резонансну та комп’ютерну томографію, а також роль клінічного огляду, анамнезу та лабораторних аналізів, проаналізовано доступні відкриті дані та запропоновано концепцію поєднання медичних зображень з молекулярними індикаторами для побудови ефективніших діагностичних моделей на основі семантичної сегментації. Було узагальнено діагностичні та прогностичні біомаркери, включаючи TNF-α, CD68, CD163, IL-6, CCR2 та інші, що може підвищити точність прогнозування перебігу захворювання.
Посилання
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