Please use one of the following formats to cite this article in your essay, paper or report: APA. Cuffari, Benedette. (2025, April 07). Using Deep Learning for Brain Imaging Data Analysis.

Keywords: ensemble dual-modality, brain tumor segmentation, MRI images, U-net, deep learning, convolutional neural network, Grad-CAM, XAI Citation: Farhan AS, Khalid M and Manzoor U (2025) XAI-MRI: an ...

Image segmentation, machine learning, deep learning and XAI are important for assisting the diagnostic procedure. In this paper, a comprehensive overview of various existing techniques in brain ...

The overall architecture of the proposed deep learning-based brain atrophy diagnosis model. Comprising four stages: pre-processing, segmentation, feature extraction, and classification using brain MRI ...

Background and Objective: Artificial Intelligence (AI) has significantly advanced medical imaging, yet the opacity of deep learning models remains challenging, often reducing the trust of medical ...

Deep learning, a subset of artificial intelligence (AI), has shown promise in various fields, including healthcare. In cancer detection, it can analyze medical images to identify anomalies and ...