Generate consensus 3D cells segmentations by combining 2D cell segmentations from any combination of xy, xz, yz views, compatible with outputs of any 2D segmentation method.
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Updated
Aug 26, 2025 - MATLAB
Generate consensus 3D cells segmentations by combining 2D cell segmentations from any combination of xy, xz, yz views, compatible with outputs of any 2D segmentation method.
Iterative H-minima Based Marker-Controlled Watershed for Cell Nucleus Segmentation
OmniSegger - from the Wiggins Lab at UW
(Biological) Cell Proposal Network for Microscopy Image Analysis
This program is implemented to count the number of cells in the image. The cells are also labeled and the perimeter and area are calculated for each cell.
the GUI tool for taking a region of interest (ROI) from a fluorescence image
Region-based Fitting of Overlapping Ellipses (original implementation by C. Panagiotakis and A.A. Argyros, Image Vis Comput 2020)
Registration of cells across sessions.
sicklemia-cell segmentation
This project was completed in the "Laboratorio di Elaborazione di Bioimmagini" course. It focuses on segmenting and analyzing healthy blood cells compared to those affected by nucleo-megaly, utilizing image processing techniques to enhance cell distinction and quantify their characteristics.
Tool for Evaluating Deep Learning Models in Histopathological Image Analysis - A MATLAB-based User Interface [Tentative Version]
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