Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality Reduction and Regression Techniques

arXiv:2405.00142v1 Announce Type: new
Abstract: In this project, we have explored machine learning approaches for predicting hearing loss thresholds on the brain's gray matter 3D images. We have solved the problem statement in two phases. In the first phase, we used a 3D CNN model to reduce high-dimensional input into latent space and decode it into an original image to represent the input in rich feature space. In the second phase, we utilized this model to reduce input into rich …

abstract analysis arxiv brain comparative analysis cs.cv cs.lg dimensionality hearing images loss machine machine learning matter neuroimaging project regression type