Image augmentation for machine learning experiments.
- image-augmentation
- machine-learning
- augmentation
- deep-learning
47,133 repositories indexed
1–9 of 9 · Most stars
Image augmentation for machine learning experiments.
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Collection of mathematical morphology methods and plugins for ImageJ
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
A curated list of resources for 3D segmentation of neurites in EM images
A Python library which extracts strokes (outlines) from an SVG file as a series of line segments appropriate for driving pen plotters
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
Panoptic segmentation algorithms for 2D and 3D electron microscopy images