4 papers
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
Diego Perazzolo, Pietro Fanton, Ilaria Barison +4
Given the increasing complexity of omics datasets, a key challenge is not only improving classification performance but also enhancing the transparency and reliability of model dec…
Uncovering Population PK Covariates from VAE-Generated Latent Spaces
Diego Perazzolo, Chiara Castellani, Enrico Grisan
Population pharmacokinetic (PopPK) modelling is a fundamental tool for understanding drug behaviour across diverse patient populations and enabling personalized dosing strategies t…
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and Classification
Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc +2
Recent advancements in foundation models have transformed computer vision, driving significant performance improvements across diverse domains, including digital histopathology. Ho…
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors
Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc +2
This study addresses the challenge of classifying cell shapes from noisy contours, such as those obtained through cell instance segmentation of histological images. We assess the p…