2 papers
eess.IV2025
Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches
Andrea Moglia, Matteo Leccardi, Matteo Cavicchioli +4
Following the successful paradigm shift of large language models, leveraging pre-training on a massive corpus of data and fine-tuning on different downstream tasks, generalist mode…
eess.IV2024
Deep Learning for Pancreas Segmentation: a Systematic Review
Andrea Moglia, Matteo Cavicchioli, Luca Mainardi +1
Pancreas segmentation has been traditionally challenging due to its small size in computed tomography abdominal volumes, high variability of shape and positions among patients, and…