Deep Learning toolbox for WSI (digital histopatology) analysis
Project description
DigiPathAI
A software application built on top of openslide for viewing whole slide images (WSI) and performing pathological analysis
Features
- Responsive WSI image viewer
- State of the art cancer AI pipeline to segment the and display the cancer cell
Online Demo
Installation
pip install DigiPathAI
Usage Local server
digipathai <host: localhost (default)> <port: 8080 (default)>
Python API usage
from DigiPathAI.Segmentation import getSegmentation
prediction = getSegmentation(img_path,
patch_size = 256,
stride_size = 128,
batch_size = 32,
quick = True,
tta_list = None,
crf = False,
save_path = None,
status = None)
Results
Application Overview
Requirements
Just for the viewer
openslide
For the segmentation as well
openslidetensorflow<2.0.0pytorch
Installation
pip install DigiPathAI
pip install DigiPathAI
Contact
- Avinash Kori (koriavinash1@gmail.com)
- Haran Rajkumar (haranrajkumar97@gmail.com)
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DigiPathAI-0.1.1-py3.5.egg
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