Multi-Pathway 3D CNN With Conditional Random Field for Automated Segmentation of Multiple Sclerosis Lesions in MRI

• Published in: IEEE access Vol. 13; pp. 62154 - 62164
• Main Authors: Saeed, Reeda, Ansari, Shahab U., Hanif, Muhammad, Javed, Kamran, Haider, Usman, Maab, Iffat, Mian Qaisar, Saeed, Plawiak, Pawel
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Autoimmune diseases; Automation; Central nervous system; conditional random field; Conditional random fields; Convolutional neural networks; Feature extraction; Filters; Image segmentation; Lesions; Magnetic resonance imaging; MS lesion segmentation; Multiple sclerosis; Solid modeling; Three-dimensional displays; Training

Multiple Sclerosis (MS) is a chronic and autoimmune disease that causes lesions in the central nervous system. It is diagnosed based on accurate identification and segmentation of lesions in magnetic resonance imaging (MRI). The structure and dimension of the lesions provide useful information about...