[Project Addition]: Knee Osteoarthritis Prediction

[devarshh08]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Knee Osteoarthritis Prediction
:red_circle: Classifying images of x-rays into chances of the patient getting osteoarthritis.
:red_circle: https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-with-severity/data
:red_circle: Will be considering external factors other than images of the knee x-rays, such as age and gender. Since it is more common in females above 40.

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📍 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.

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: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.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Devarsh Shah
• GitHub Profile Link : https://github.com/devarshh08
• Email ID : devarsh.s9521@gmail.com
• Participant ID (if applicable): Devarsh Shah (thewittywizard)
• Approach for this Project : Classification and Convolutional Neural Networks
• What is your participant role? (Mention the Open Source program) GirlScript Summer of Code 2024 Contributor

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Happy Contributing 🚀

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

[github-actions[bot]]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[abhisheks008]

Hi @devarshh08 can you please share your approach for this problem statement? What are the models you are planning to implement here. Mention 3-4 models for this project.

[devarshh08]

I are going to be using deep learning and cnn, to predict by image whether the person has knee osteoarthritis or not.

I'll be sending a detailed step by step method soon.

Sorry for the inconvenience. Really appreciate your patience!

[devarshh08]

@abhisheks008 Here is a basic overview:

Here is a sample data with 5 severity grades, Grade 0 : Healthiest to Grade 4 : Most severe.

Then I will preprocess the dataset firstly and add to a list, it also includes assigning labels to the images.

Then I will make a CNN model, using the following models : ResNet 50, VGG 16, MobileNet, EfficientNet B7

After that I will split the model and train the data from the split training and testing data

Then will plot the data.

That's it, thank you!

[abhisheks008]

Cool, go ahead with this issue. Assigned to you @devarshh08

[devarshh08]

Hi @abhisheks008, I want to request a few days extension for completing this project. Because it is my first time I am facing a lot of issues and am working to resolve them.

Thank you very much for understanding.

[shivam060404]

i would like to work on this project Knee Osteoarthritis prediction using cnn model using transfer learning frameworks like ResNet or VGGNet to optimize our model performance and reduce our training time. I am GSSOC 2024 extended Contributor . My github username :shivam060404. kindly assign me to collaborate and open source learning to contribute in this project.

[abhisheks008]

Hi @shivam060404 sorry for replying so late. Implement these models for this problem statement to get a better result/output,

1. ResNet
2. VGG
3. MobileNet
4. EfficientNet

You can start working on this issue.