Blood Cell Imaging Analysis for Multiple Sclerosis Classification Using Leave-One-Subject-Out Study with Deep Neural Networks
Multiple sclerosis (MS) is a chronic neurological disease whose diagnosis typically relies on resource-intensive and partly invasive procedures such as MRI and spinal fluid analysis. This study explores whether deep learning can identify distinguishing patterns in RBC images associated with MS, aiming to determine whet...