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Nuclei Feature Extraction from Tissue Images by Giulio Chiosso is a document available to read on EtoBox.
This paper introduces a fast methodology for extracting informative cell features from densely clustered RGB tissue images, focusing on nuclei count, size distribution, eccentricity, closeness, and cluster size distribution. The method involves a three-step process of generating a binary nuclei mask through color segmentation, segmenting nuclei clusters using concavity detection and ellipse fitting, and extracting informative features for clinical applications. A user-friendly graphical interface is also de
- Author
- Giulio Chiosso
- Language
- EN