The article considers the use of deep neural
networks for the recognition of lungs inhomogeneity
Прогнозирование клинически узкого таза с помощью нейросетевого анализа данныхZiganshin, Aydar M.,
Dikke, Galina B.,
Mudrov, Viсtor A.,
Зиганшин, А.М.,
Дикке, Г.Б.,
Мудров, В.А. (2023) модуля Neural
Networks программы SPSS Statistics Version 25.0 (IBM, США).
Результаты. Несмотря на
Beylerli, Ozal,
Ju, Jiaming,
Beilerli, Aferin,
Gareev, Ilgiz,
Shumadalova, Alina,
Ilyasova, Tatiana,
Bai, Yunlong,
Yang, Baofeng (2023) and may lead to postoperative
recurrence, limiting the clinical benefits to some extent. Therefore, in