Skip to main content

Deep Learning toolbox for WSI (digital histopatology) analysis

Project description

DigiPathAI

A software application 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

Usage

##Requirements Just for the viewer

  • openslide

For the segmentation as well

  • tensorflow<2.0.0
  • pytorch

Installation

pip install digipathai

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

DigiPathAI-0.0.4-py3.5.egg (64.0 kB view details)

Uploaded Egg

File details

Details for the file DigiPathAI-0.0.4-py3.5.egg.

File metadata

  • Download URL: DigiPathAI-0.0.4-py3.5.egg
  • Upload date:
  • Size: 64.0 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.5.6

File hashes

Hashes for DigiPathAI-0.0.4-py3.5.egg
Algorithm Hash digest
SHA256 d6188935e2895f68faa8bc906040d72337512cb006bd355d1b68309b5157c2f6
MD5 3d3f48dac0dd027d309a68bd69889176
BLAKE2b-256 f9de06eb8f98c94c573597ba111082b4824192a8fe7524d41a50fa700d7e44f9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page