https://github.com/pavanchhatpar/aae-nn
The precision of case difficulty and referral decisions: an innovative automated approach
https://github.com/pavanchhatpar/aae-nn
Last synced: 2 months ago
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The precision of case difficulty and referral decisions: an innovative automated approach
- Host: GitHub
- URL: https://github.com/pavanchhatpar/aae-nn
- Owner: pavanchhatpar
- Created: 2017-11-23T07:32:59.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-03-24T23:51:52.000Z (about 2 years ago)
- Last Synced: 2025-02-07T22:47:20.972Z (4 months ago)
- Language: Python
- Homepage: https://doi.org/10.1007/s00784-019-03050-4
- Size: 25.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
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README
# Endodontic Case Difficulty Assessment using Artificial Neural Networks
This is a part of a research paper dealing with predicting the difficulty of an Endodontic case.
## Setup
### Virtual Environment (Optional but Recommended)
```
$ virtualenv virt-env #For default python (python 3)
$ virtualenv virt-env2 --python=python2.7 #For Python 2
$ source virt-env/bin/activate #Start py3 virt-env
(virt-env)$ deactivate #Stop py2 virt-env
$ source virt-env2/bin/activate #Start py2 virt-env2
(virt-env2)$ deactivate #Stop py2 virt-env2
```
### Install pip packages
```
(virt-env)$ pip install -r requirements.txt
(virt-env2)$ pip install -r requirements2.txt
```
### Install apt packages
This package enables us to use `tensorflow_model_server` via command line
```
$ sudo apt-get update | sudo apt-get install tensorflow-model-server
```