Master Thesis
Deep discriminant analysis in binary segmentation of images
Student/s
Supervisor/s
Information
- Started: 01/02/2025
- Finished: 22/10/2025
Description
Image segmentation is a fundamental task in image processing, with applications ranging from medical imaging to autonomous systems. This thesis introduces a novel Deep Discriminant Analysis loss, which integrates classical discriminant analysis principles into deep neural networks to increase class separability in segmentation tasks.
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