3 papers
cs.CV2025
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and Classification
Valentina Vadori, Jean-Marie Graïc, Antonella Peruffo +3
Precise segmentation and classification of cell instances are vital for analyzing the tissue microenvironment in histology images, supporting medical diagnosis, prognosis, treatmen…
eess.IV2025
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies
Valentina Vadori, Jean-Marie Graïc, Antonella Peruffo +3
Delineating and classifying individual cells in microscopy tissue images is inherently challenging yet remains essential for advancements in medical and neuroscientific research. I…
cs.CV2024
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…