Abstract

In recent years, the study of gender identity has considerably evolved, moving beyond binary definitions and embracing a more comprehensive understanding of the experiences of both cisgender and transgender people. In the middle of this advancement, neuroimaging and neuroscience present encouraging paths toward comprehending the biological foundations of gender identity. Magnetic resonance imaging (MRI) has become essential in studying brain anatomy and function, allowing scientists to investigate possible variations in the neuroanatomy linked to different gender identities. Here, cisgender and transgender classification from brain MRI scans using a Convolutional Neural Network is presented. With the use of these methods, the possibility of identifying unique brain traits that differentiate cisgender from transgender individuals is explored, which may provide insight into the biological components of gender identity.

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