Taxonomy of Multiple Sclerosis MR Images Using Different Techniques: A Survey

Kalpana N. Rode and Dr.J.S. Rajashekar

This survey paper based on Taxonom of Multiple Sclerosis MR images using Deep Learning Techniques. MR images have some limitations that make the diagnosis of MS disease difficult and so in this survey paper we have tried to refer and compare various Deep Learning Techniques to overcome the same. Normally MR images can provide significant data in order to find out the most operative therapeutic strategy for MS patients and therefore healthier treatment. Survey and review based on data of Survey, diverse methods needs to be employed for the Sclerosis patient classification from the brain images. Further, based on survey information; need to be addressed the challenges that a current taxonomy methods pose so as to advance an operative method for the classification of Sclerosis Patients.

Volume 11 | Issue 11

Pages: 174-178

DOI: 10.5373/JARDCS/V11I11/20193184