5 papers
Vision Foundation Models in Agriculture: Toward Domain-Specific Adaptation for Weed Herbicide Trials Assessment
Leire Benito-Del-Valle, Artzai Picón, Daniel Mugica +5
Herbicide field trials require accurate identification of plant species and assessment of herbicide-induced damage across diverse environments. While general-purpose vision foundat…
Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition
Leire Benito-Del-Valle, Pedro A. Moreno-Sánchez, Itziar Egusquiza +4
The MIDOG 2025 challenge extends prior work on mitotic figure detection by introducing a new Track 2 on atypical mitosis classification. This task aims to distinguish normal from a…
AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models
Uxue Delaquintana-Aramendi, Leire Benito-del-Valle, Aitor Alvarez-Gila +5
In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. In the search for algorithms capable of addressing this challenge, foundation mode…
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification
Leire Benito-Del-Valle, Aitor Alvarez-Gila, Itziar Eguskiza +1
Histopathology image classification is crucial for the accurate identification and diagnosis of various diseases but requires large and diverse datasets. Obtaining such datasets, h…
Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)
Artzai Picon, Pablo Galan, Arantza Bereciartua-Perez +1
Hyperspectral imaging, a rapidly evolving field, has witnessed the ascendancy of deep learning techniques, supplanting classical feature extraction and classification methods in va…