Lung ct detection

Project Status: [Completed]

Project Intro

deeplearning model resposible for detecting ct scan for lunges

Methods Used

• data augmentaion
• pre trained model VGG16
• transfer learning
• Deep leanring, CNN
• Early stopping

Technologies

• pandas, numpy, matplotlib
• tensotflow
• glob
• scikit learn

Project Description

the purpose of this project is to create a deeplearning model resposible for detecting ct scan for lunges predicting if it's one of the following classes {0:'failure',1:'normal',2:'Covid',3:'lung atama'}
then the model should be deployed on mobile application and all data exchange will be done by GET and POST request, provided down screenshot of a post request to my local host running the model and getting back predictions in a json format

image preprocessing

it's essential to preprocess the image uploaded before passing it to the model
and getting back the prediction
and all these preprocesssing procedure should be matched to whatever your model expecting to get to start getting predictions

Needs of this project

• data processing/cleaning
• app developer
• Deep learning model

Getting Started

1. pull the docker image docker pull <image_name>: from Here Ensure Docker is installed on your system
   You can download and install Docker from the official Docker website
2. List Docker Images docker images (Optional): You can list the Docker images on your system to verify that the image has been successfully pulled
3. Run Docker Container docker run <image_name>:

Contact