4 papers
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…
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…
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…
Revealing Cortical Layers In Histological Brain Images With Self-Supervised Graph Convolutional Networks Applied To Cell-Graphs
Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc +3
Identifying cerebral cortex layers is crucial for comparative studies of the cytoarchitecture aiming at providing insights into the relations between brain structure and function a…