Reverse Dependencies of segmentation-models

The following projects have a declared dependency on segmentation-models:

• deepd3 — A tool for segmenting dendrites and dendritic spines.
• epyseg — A deep learning based tool to segment epithelial tissues. The epyseg GUI can be uesd to build, train or run custom networks
• koopa — Workflow for analysis of cellular microscopy data.
• miso — Python scripts for training CNNs for particle classification
• miso2 — Python scripts for training CNNs for particle classification
• musket-core — The core of Musket ML
• orthoseg — Package to make it easier to segment orthophotos.
• segmentation-models-trainer — Image segmentation models training of popular architectures.
• skself — Self-supervised learning sklearn-style
• sleap — SLEAP (Social LEAP Estimates Animal Poses) is a deep learning framework for animal pose tracking.
• SpotSegmentation — no summary
• tcsa — temporalis segmentation pipeline to assess CSA of temporalis muscle
• tensorflow-caney — Methods for tensorflow deep learning applications
• water-drop-detection — A neural network that detects water drops on the surface from an image.