Showing 9 of 45 projects
A Lua/Torch7 package for creating and manipulating edge-weighted graphs on images for segmentation and analysis.
Generates synthetic phase contrast or fluorescence microscope images of bacteria for training deep learning segmentation models.
A curated collection of academic papers, datasets, and metrics for topology-aware delineation in computer vision and medical imaging.
A bilateral awareness network combining transformers and convolutions for semantic segmentation of very fine resolution urban scene images.
An ImageJ plugin that converts segmented images into Spatial SBML models for spatial biological simulations.
Segment Anything in Light and Electron Microscopy via membrane guidance for biomedical image analysis.
A general-purpose U-Net implementation in Keras for image segmentation tasks.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
A Python algorithm for smoothly blending U-Net image segmentation patches using spline interpolation and batch prediction.
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