Pneumonia Detection from X-Ray

abhisheks008 commented 2 years ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Pneumonia Detection from X-Ray
:red_circle: Aim : The aim is to create a DL model which will detect the pneumonia from the given X-ray images.
:red_circle: Dataset : https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia
:red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

📍 Follow the Guidelines to Contribute in the Project :

You need to create a separate folder named as the Project Title.
Inside that folder, there will be four main components.
- Images - To store the required images.
- Dataset - To store the dataset or, information/source about the dataset.
- Model - To store the machine learning model you've created using the dataset.
- requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

:red_circle::yellow_circle: Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include issue number along with it.
Follow Contributing Guidelines & Code of Conduct before start Contributing.

:white_check_mark: To be Mentioned while taking the issue :

Full name :
GitHub Profile Link :
Email ID :
Participant ID (if applicable):
Approach for this Project :
What is your participant role? (Mention the Open Source program)

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

ESHA1101 commented 2 years ago

I am Esha and I would like to take up this issue My GitHub: https://github.com/ESHA1101 Email ID: 20bcs045@iiitdwd.ac.in Approach: this project is mainly based on image processing and knowledge on pneumonia and how it shows in x rays. I will formulate a few algorithms based on the latter and will check the accuracy using each algorithm. The model that gives the best accuracy will be chosen. I am a participant of ssoc 2022

abhisheks008 commented 2 years ago

We'll start the journey after completing those formalities. Till then, stay tuned with Deep Learning Simplified.

Thanks and regards.

abhisheks008 commented 2 years ago

@ESHA1101 updates please.

abhisheks008 commented 2 years ago

Updates please @ESHA1101

PiyushBL45t commented 1 year ago

Hey, @abhisheks008 I would like to work on this issue,

Full name : Piyush Bhujbal GitHub Profile Link : https://github.com/PiyushBL45t Email ID : bhujbalpiyush@gmail.com Approaches for this Project :-

Read the images.
Insert the details of pneumonia disease.
Perform analysis of data.
Check for reshaping and implement changes if needed.
Create model architecture for the image dataset.
Create image data for preprocessing.
Make predictions.
Check the accuracy and loss parameter for the model.
Make live detection using OpenCV if possible.

What is your participant role: contributor at SWOC 3.0