Výsledky vyhledávání - "Vadori, Valentina"

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Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors

Autor: Vadori, Valentina, Peruffo, Antonella, Graïc, Jean-Marie, Finos, Livio, Grisan, Enrico

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 performance of various features for shape classification, including Ell

Externí odkaz: http://arxiv.org/abs/2411.00561

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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

Autor: Vadori, Valentina, Graïc, Jean-Marie, Peruffo, Antonella, Vadori, Giulia, Finos, Livio, Grisan, Enrico

Delineating and classifying individual cells in microscopy tissue images is a complex task, yet it is a pivotal endeavor in various medical and biological investigations. We propose a new deep learning framework (CISCA) for automatic cell instance se

Externí odkaz: http://arxiv.org/abs/2409.04175

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NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images

Autor: Vadori, Valentina, Peruffo, Antonella, Graïc, Jean-Marie, Finos, Livio, Corain, Livio, Grisan, Enrico

Deep learning has proven to be more effective than other methods in medical image analysis, including the seemingly simple but challenging task of segmenting individual cells, an essential step for many biological studies. Comparative neuroanatomy st

Externí odkaz: http://arxiv.org/abs/2306.15784

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MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging

Autor: Vadori, Valentina, Graïc, Jean-Marie, Finos, Livio, Corain, Livio, Peruffo, Antonella, Grisan, Enrico

In comparative neuroanatomy, the characterization of brain cytoarchitecture is critical to a better understanding of brain structure and function, as it helps to distill information on the development, evolution, and distinctive features of different

Externí odkaz: http://arxiv.org/abs/2211.07415

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