On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks

arXiv:2405.02852v1 Announce Type: cross
Abstract: Brain tumor segmentation is a fundamental step in assessing a patient's cancer progression. However, manual segmentation demands significant expert time to identify tumors in 3D multimodal brain MRI scans accurately. This reliance on manual segmentation makes the process prone to intra- and inter-observer variability. This work proposes a brain tumor segmentation method as part of the BraTS-GoAT challenge. The task is to segment tumors in brain MRI scans automatically from various populations, such as adults, …

arxiv brain convolutional convolutional neural networks cs.cv diverse eess.iv networks neural networks segmentation type