Metadata-Version: 2.1
Name: DigiPathAI
Version: 0.1.0
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
Description: # DigiPathAI
        A software application built on top of openslide 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
        
        # Online Demo
        https://digipathai.tech/
        
        # 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
        ![results](imgs/results_1.png)
        
        # Application Overview
        ![demo](imgs/demo.gif)
        
        # Requirements
        Just for the viewer 
        - `openslide`
        
        For the segmentation as well
        - `openslide`
        - `tensorflow<2.0.0`
        - `pytorch`
        
        ## Installation 
        ```
        pip install DigiPathAI
        pip install DigiPathAI 
        ```
        # Contact
        - Avinash Kori (koriavinash1@gmail.com)
        - Haran Rajkumar (haranrajkumar97@gmail.com)
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: gpu
