A team of researchers have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a new study.

Z-Net also can distinguish between malignant and benign tumours using data from non-contrast MRI-guided NIRST breast exams. NIRST is a diagnostic imaging technique that characterizes soft tissue ...

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.

Medical image processing techniques have undergone significant advancements in recent years, attributed largely to the emergence of AI, particularly deep learning technology. Deep learning exhibits ...

Tang et al. proposed a new segmentation network using deep learning based on T2-weighted sagittal MRI data, exhibiting high sensitivity and specificity in the diagnosis of uterine diseases . They ...