How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation

arXiv:2402.17317v1 Announce Type: cross
Abstract: Deep Learning is the state-of-the-art technology for segmenting brain tumours. However, this requires a lot of high-quality data, which is difficult to obtain, especially in the medical field. Therefore, our solutions address this problem by using unconventional mechanisms for data augmentation. Generative adversarial networks and registration are used to massively increase the amount of available samples for training three different deep learning models for brain tumour segmentation, the first task of the BraTS2023 challenge. The …

abstract art arxiv augmentation brain challenge cs.cv cs.lg data deep learning eess.iv ensemble medical medical field quality quality data segmentation solutions state synthetic synthetic data technology type