Tumor detection in MRI Images Based on Transfer Deep Learning Architectures Driven by Neutrosophic Features
MRI images are often noisy, inhomogeneous, and suffer from partial volume effects, which add a great deal of uncertainty to the identification of brain tumors by computer vision techniques. In the present paper, a new fourth domain of Neutrosophic Sets (NS) named Homogeneity (H) has been used for the quantification of...