Motivation
- 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
Project Description
Overview
Results
Demo
Open Source Packages
opensource project links and details will be updated soon ...pip package
PyPi package for the following project can be found here-
Installation
pip install "DigiPathAI[gpu]" -
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)
Github Link
Entire source code for python package, is made open source so that other people can also contribute to the development of this project. Github repo can be found here -->Tools and Libraries Used
- pytorch
- torchvision
- opencv-python
- imgaug
- matplotlib
- scikit-learn
- scikit-image
- tensorflow-gpu ==1.14
- pydensecrf
- pandas
- wget