A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis. (arXiv:2211.03109v1 [eess.IV])

Successful identification of blood vessel blockage is a crucial step for
Alzheimer's disease diagnosis. These blocks can be identified from the spatial
and time-depth variable Two-Photon Excitation Microscopy (TPEF) images of the
brain blood vessels using machine learning methods. In this study, we propose
several preprocessing schemes to improve the performance of these methods. Our
method includes 3D-point cloud data extraction from image modality and their
feature-space fusion to leverage complementary information inherent in
different modalities. We also enforce the …

alzheimer's arxiv detection diagnosis multimodal