Ivanrs297/endoscopycorruptions
The endoscopycorruptions Python package provides utilities to simulate common image corruptions that might occur during endoscopic procedures. This tool is designed to assist in the development and testing of image processing algorithms intended for endoscopic imagery by introducing realistic corruptions into clean images.
No commits in the last 6 months.
Stars
13
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ivanrs297/endoscopycorruptions"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for...
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
axondeepseg/axondeepseg
Axon/Myelin segmentation using Deep Learning