Effects of Cropping vs Resizing on the Performance of Brain Tumor Segmentation Models

• Main Authors: Magboo, Ma Sheila A., Coronel, Andrei D
• 格式: text
• 出版: Archīum Ateneo 2024
• 主題: 2D U-Net; 2D U-Net InceptionResNetV2; brain tumor segmentation; image cropping; image resizing; Computer Engineering; Computer Sciences; Engineering; Physical Sciences and Mathematics
• 在線閱讀: https://archium.ateneo.edu/discs-faculty-pubs/429; https://doi.org/10.1109/CITS61189.2024.10608031
• 機構: Ateneo De Manila University

This study investigated the effects of image resizing vs cropping on the performance of state-of-the-art models for the brain tumor segmentation task. This is particularly important since many studies simply resize the image without thinking about potential effects of image distortion on the model&#...