Skip to main content

Keras-based framework for UNet structure in Cancer Tumor Delineation

Project description

Documentation Status https://app.travis-ci.com/huynhngoc/deoxys.svg?branch=master https://coveralls.io/repos/github/huynhngoc/deoxys/badge.svg https://img.shields.io/badge/code%20style-black-000000.svg

Framework for running deep-learning experiments with emphasis on cancer tumor auto-segmentation.

Features

Applying different deep learning models on medical images

Build from source

Editable mode installation pip install -e .

Run test tox .

Environment setup

To run on CPU only (windows) set CUDA_VISIBLE_DEVICES=-1

To customize the number of iteration per epoch:

On Windows set ITER_PER_EPOCH=500

On Linux export ITER_PER_EPOCH=500

Project details


Download files

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

Source Distribution

deoxys-0.0.11.tar.gz (12.2 MB view details)

Uploaded Source

File details

Details for the file deoxys-0.0.11.tar.gz.

File metadata

  • Download URL: deoxys-0.0.11.tar.gz
  • Upload date:
  • Size: 12.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for deoxys-0.0.11.tar.gz
Algorithm Hash digest
SHA256 67c3d868a750e4469aef42fb3aac99ba6cbfe1bcccc5c0a5e3c09d83dbe74a53
MD5 114841c6c0601e3b1dd3e1b0ef1698ba
BLAKE2b-256 01d0d5524a7978eb8c0d25c463c66d0cd18fa81ec8a0f9b3f5cde20807b6cea9

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