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

• URL: http://arxiv.org/abs/2411.00561v1
• Date: Fri, 01 Nov 2024 13:19:53 GMT
• Title: Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors
• Authors: Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Livio Finos, Enrico Grisan,
• Abstract summary: This study addresses the challenge of classifying cell shapes from noisy contours. We assess the performance of various features for shape classification. Our aim is to provide a comprehensive evaluation of descriptors for classifying cell shapes.
• Score: 0.20971479389679332
• License:
• Abstract: 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 Elliptical Fourier Descriptors, curvature features, and lower dimensional representations. Using an annotated synthetic dataset of noisy contours, we identify the most suitable shape descriptors and apply them to a set of real images for qualitative analysis. Our aim is to provide a comprehensive evaluation of descriptors for classifying cell shapes, which can support cell type identification and tissue characterization-critical tasks in both biological research and histopathological assessments.

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