PuBliCiTy
PuBliCiTy provides a Python-based library for biological image analysis, supporting deep learning and large-image processing for quantitative bioimage computing.
Key Features:
- Deep Learning Models: Includes TensorFlow and PyTorch models for bioimage computing.
- Python Implementation: Comprises functions, scripts, and classes written primarily in Python for image analysis.
- Large-image and Routine-analysis Tools: Provides specialized functions for large image analysis and common bioimage tasks.
- Data Science Library Integration: Leverages NumPy, SciPy, scikit-image, scikit-learn, and pandas for image handling and analysis.
Scientific Applications:
- Bioimage Computing: Supports complex image processing and analysis in biological research.
Methodology:
Implemented as Python functions, scripts, and classes; uses TensorFlow and PyTorch models; leverages NumPy, SciPy, scikit-image, scikit-learn, and pandas.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 11/29/2021
- Last Updated:
- 11/29/2021
Operations
Publications
Cicconet M. PuBliCiTy: Python Bioimage Computing Toolkit. Unknown Journal. 2021. doi:10.1101/2021.03.01.432926.
Links
Issue tracker
https://github.com/hms-idac/PuBliCiTy/issues