Ensembling Unets, sparse representation and low dimensional visualization for rare chromosomal aberration detection in light microscopy images
Antonin Deschemps, Eric Grégoire, Juan S. Martinez, Aurélie Vaurijoux, Pascale Fernandez, Delphine Dugué, Laure Bobyk, Marco Valente, Gaëtan Gruel, Emmanuel Moebel, Mohamed Amine Benadjaoud, Charles Kervrann A
The paper develops an automated system for detecting rare chromosomal aberrations in microscopy images using deep learning, sparse representation, and dimensionality reduction, achieving improved performance over existing methods.
bioRxiv · Sep 11, 2023 · PreprintBioinformatics