Нейросети для всех: Практическое руководство без кода. Артем Демиденко

Нейросети для всех: Практическое руководство без кода

соответствующие различным объектам или частям объектов. Возможности в этой области предоставляют модели, такие как U-Net и Mask R-CNN. Сегментация особенно важна в медицинской диагностике, где необходимо точно выделить области, требующие внимания, например, опухоли на МРТ-сканах. Чтобы работать с такими моделями, нужно настраивать архитектуру сети и подбирать оптимальные параметры, чтобы достичь нужного уровня точности.

Конец ознакомительного фрагмента.

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