Search Results for author: Ahmed Soliman

Found 2 papers, 1 papers with code

Brain Stroke Segmentation Using Deep Learning Models: A Comparative Study

no code implementations25 Mar 2024 Ahmed Soliman, Yousif Yousif, Ahmed Ibrahim, Yalda Zafari-Ghadim, Essam A. Rashed, Mohamed Mabrok

In this study, we selected four types of deep models that were recently proposed and evaluated their performance for stroke segmentation: a pure Transformer-based architecture (DAE-Former), two advanced CNN-based models (LKA and DLKA) with attention mechanisms in their design, an advanced hybrid model that incorporates CNNs with Transformers (FCT), and the well- known self-adaptive nnUNet framework with its configuration based on given data.

Image Segmentation Medical Image Segmentation +2

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