Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection

arXiv:2404.05763v1 Announce Type: cross
Abstract: Introduction: The present study on the development and evaluation of an automated brain tumor segmentation technique based on deep learning using the 3D U-Net model. Objectives: The objective is to leverage state-of-the-art convolutional neural networks (CNNs) on a large dataset of brain MRI scans for segmentation. Methods: The proposed methodology applies pre-processing techniques for enhanced performance and generalizability. Results: Extensive validation on an independent dataset confirms the model's robustness and potential for integration into clinical …

abstract art arxiv automated brain cnns convolutional neural networks cs.cv dataset deep learning detection development eess.iv evaluation image introduction mri networks neural networks scans segmentation state study type