Metadata-Version: 2.1
Name: DigiPathAI
Version: 0.0.9
Summary: Deep Learning toolbox for WSI (digital histopatology) analysis
Home-page: https://github.com/haranrk/DigiPathAI
Author: Avinash Kori, Haran Rajkumar
Author-email: koriavinash1@gmail.com, haranrajkumar97@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: flask
Requires-Dist: openslide-python
Provides-Extra: gpu
Requires-Dist: torch ; extra == 'gpu'
Requires-Dist: torchvision ; extra == 'gpu'
Requires-Dist: opencv-python ; extra == 'gpu'
Requires-Dist: imgaug ; extra == 'gpu'
Requires-Dist: tqdm ; extra == 'gpu'
Requires-Dist: matplotlib ; extra == 'gpu'
Requires-Dist: scikit-learn ; extra == 'gpu'
Requires-Dist: scikit-image ; extra == 'gpu'
Requires-Dist: tensorflow-gpu (<2,>=1.14) ; extra == 'gpu'
Requires-Dist: pydensecrf ; extra == 'gpu'
Requires-Dist: pandas ; extra == 'gpu'
Requires-Dist: wget ; extra == 'gpu'

# DigiPathAI
A software application for viewing [whole slide images (WSI)](https://www.ncbi.nlm.nih.gov/pubmed/30307746) and performing pathological analysis 

# Features
- Responsive WSI image viewer 
- State of the art cancer AI pipeline to segment the and display the cancer cell

# Usage 
##Requirements
Just for the viewer 
- `openslide`

For the segmentation as well
- `tensorflow<2.0.0`
- `pytorch`

## Installation 
```
pip install DigiPathAI
pip install DigiPathAI 
```



