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X-Ray Vision Medical Diagnostics Workflow

A healthcare use case, powered by Ocean.


Table of Contents


Blog

Features

The major modules in X-Ray Vision are

Files

├── requirements.txt : packages
├── app: I. Medical Image Visualization (Web-application)
├── ocean_assets: II. Lung Opacity Detection using Deep Learning
│   ├── image_data
│   ├── meta_data
│   ├── models
│   ├── notebook
│   ├── utils
│   └── visualization
├── references
├── reports: More data Visualization
├── src: Source files
│   ├── Mask_RCNN: Mask_RCNN library
│   ├── config: functions
└── └── data: raw data and processed data (image data is not uploaded to GitHub)

Prerequisites

Python 3

Code style

The information about code style in python is documented in this two links python-developer-guide and python-style-guide. ​

New Version

The bumpversion.sh script helps to bump the project version. You can execute the script using as first argument {major|minor|patch} to bump accordingly the version.

License

Copyright 2018 Ocean Protocol Foundation Ltd.

Licensed under the Apache License, Version 2.0 (the "License");nyou may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and limitations under the License.