https://github.com/malwarebo/carcinet

Basic breast cancer detection using Machine Learning
https://github.com/malwarebo/carcinet

deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow

Last synced: 2 days ago
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Basic breast cancer detection using Machine Learning

• Host: GitHub
• URL: https://github.com/malwarebo/carcinet
• Owner: malwarebo
• Created: 2019-09-30T04:45:50.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-07-11T16:56:14.000Z (over 2 years ago)
• Last Synced: 2024-11-10T08:38:51.363Z (about 2 months ago)
• Topics: deep-learning, keras, machine-learning, matplotlib, numpy, python3, scipy, tensorflow
• Language: Python
• Homepage:
• Size: 352 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Cancer Detect

This was a Hackathon project which uses machine learning to detect breast cancer at early stage.

# Tools and Setup (Linux)

## Install virtual environment

### Install **pip** first

    sudo apt-get install python3-pip

### Then install **virtualenv** using pip3

    sudo pip3 install virtualenv

### Now create a virtual environment

    virtualenv venv

>you can use any name insted of **venv**

### You can also use a Python interpreter of your choice

    virtualenv -p /usr/bin/python3.6 venv

### Active your virtual environment:    

    source venv/bin/activate

### Using fish shell:    

    source venv/bin/activate.fish

### To deactivate:

    deactivate

### Create virtualenv using Python3

    virtualenv -p python3 myenv

### Instead of using virtualenv you can use this command in Python3

    python3 -m venv myenv

## Installation without sudo

curl https://bootstrap.pypa.io/get-pip.py | python3.6 - --user

This may sometimes give a warning such as:

    WARNING: The script wheel is installed in '/home/ubuntu/.local/bin' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.

### Verification

After this, pip, pip3, and pip3.6 can all be expected to point to the same target:

$ (pip -V && pip3 -V && pip3.6 -V) | uniq

pip 18.0 from /usr/local/lib/python3.6/dist-packages (python 3.6)

Of course you can alternatively use python3.6 -m pip as well.

$ python3.6 -m pip -V

pip 18.0 from /usr/local/lib/python3.6/dist-packages (python 3.6)

# Install virtualenvwrapper

pip3.6 install virtualenvwrapper

## Working!!

python3.6 -m virtualenv venv

## Install Tensorflow

$ pip install --upgrade tensorflow

$ pip install numpy scipy

$ pip install scikit-learn

$ pip install pillow

$ pip install h5py

$ pip install keras

sudo apt-get install python-scipy

or

sudo pip3.6 install scipy --upgrade

# Install other tools

$ pip install numpy opencv-contrib-python

$ pip install pillow

$ pip install tensorflow keras

$ pip install imutils

$ pip install scikit-learn matplotlib

# Configuration

Inside the src *config.py* change the path for ORIG_INPUT_DATASET and BASE_PATH to the directories where you have stored the image data. I recommened putting the images in datasets/orig and datasets/idc.