Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation

Roman Statkevych, Yuri G. Gordienko, Sergii G. Stirenko. Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation. In Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I. Volume 14125 of Lecture Notes in Computer Science, pages 251-262, Springer, 2023. [doi]

Authors

Roman Statkevych

This author has not been identified. Look up 'Roman Statkevych' in Google

Yuri G. Gordienko

This author has not been identified. Look up 'Yuri G. Gordienko' in Google

Sergii G. Stirenko

This author has not been identified. Look up 'Sergii G. Stirenko' in Google