МРНТИ 34.57.23, 34.17.53                                                       №1 (2021г.)

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Машекова А., Жао Я., Нг Э.Й.К., Зарикас В., Мұхметов   О.

Одной из наиболее частых причин смерти молодых женщин от болезней почти во всех странах мира является рак груди. Правильная и своевременная диагностика рака молочной железы жизненно важна, так как его раннее выявление значительно помогает при дальнейшем лечении. Есть несколько методов выявления рака груди. В этой статье рассматривается, такие методы диагностирования как маммография и термография. Для обоих методов существует множество исследовательских подходов, в которых используются компьютерные системы обнаружения для улучшения выявляемости рака груди. Большинство разработок основаны на последних достижениях в области методов машинного обучения, численного моделирования и статистических методов. Они охватывают широкий спектр области искусственного интеллекта (ИИ). В статье подробно рассматриваются возможные пути прогресса в области искусственного интеллекта для диагностики рака груди.

Ключевые слова: рак молочной железы, термография, искусственный интеллект, сверточная нейронная сеть, байесовские сети, машинное обучение.

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