Back to search

Article

ASD-GANNet: A GAN inspired Deep Learning Approach for the Classification of Human’s Autism Brain Disorder

2024-07-18

Abstract excerpt

Classification of pre-processed fMRI dataset using the functional connectivity(FC) based features is considered a challenging task due to high dimensional FC features set and smaller dataset size. To tackle this specific FC high dimensional features set and a smaller dataset size , We have proposed here a GAN based dataset augmenter to firstly train the GAN on the NYU Connectivity Features dataset and used the tra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d2f131c2-12b2-54a4-b970-a6c22efcef1f
DOI
10.20944/preprints202407.1466.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
ASD-GANNet: A GAN inspired Deep Learning Approach for the Classification of Human’s Autism Brain DisorderDOI 10.20944/preprints202407.1466.v1
Select a neighboring publication to make it the new centre.