Segmentation
Showing 14 of 50 projects
A deep learning tool for automatic axon and myelin segmentation from microscopy images using convolutional neural networks.
An automated pipeline for organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy.
A GUI-based tool for training deep neural networks to segment biological images using corrective annotation.
A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.
A library of reusable web components for data annotation tasks in computer vision applications.
An attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remote sensing images.
Generates synthetic phase contrast or fluorescence microscope images of bacteria for training deep learning segmentation models.
A Go tokenizer for Chinese text segmentation using dictionary and Bigram language models.
Natural language processing algorithms implemented in pure Ruby with minimal dependencies.
A bilateral awareness network combining transformers and convolutions for semantic segmentation of very fine resolution urban scene images.
An automated Fiji-based image analysis pipeline for 3D quantification of zebrafish brain vasculature from light sheet fluorescence microscopy data.
QuimP is software for tracking cellular shape changes and dynamic distributions of fluorescent reporters at the cell membrane.
Elixir client for interacting with Mixpanel's Data Export API to fetch analytics data programmatically.
A tool for panoptic segmentation of organelles in 2D and 3D electron microscopy images using deep learning.
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