Pneumonia Classification using Chest X-Ray

[Subhranil2004]

Overview :
The aim is to develop a predictive model for classifying Chest X-ray images as pneumonia-affected or not.
Classes:

• Normal
• Pneumonia
  • Bacterial [ Future scope ]
  • Viral [ Future scope ]

Objective :
The primary objective of this project is to create a deep learning (CNN) model that can accurately predict which class of Pneumonia a chest X-ray image belongs to.

I would like this issue to be assigned to me as part of GSSoC'24 with the gssoc label and the appropriate level (1/2/3).
Thank you.

[github-actions]

Thanks for creating the issue

[Piyushseth55]

Hii, I am Piyush. Under GSSOC'24, I would like to work on this issue. Pls assign me this!! #gssoc24

[diptarup794]

Hi,I want to work on this issue . I have worked on similar problems before and am confident about dealing with this one as well . Kindly assign it to me @Subhranil2004

[Subhranil2004]

Actually, I am a GSSoC contributor, so I cannot assign it to anyone.
I want to work on this issue/project myself. Thus, I opened it.

[shrehs]

Hello!
I have worked on two image classifiers- dog breed classifier and flower classifier, I believe I'm able to contribute to the project due to my previouse projects. I have worked with AlexNet, VGG-16 of CNN. If given the oppurtunity I would love to be involved with this project. Please do consider my request. Thank you very much!

[invigorzz313]

The issue has been assigned on FCFS basis.
@Subhranil2004 Do follow the project guidelines for PR.

[Subhranil2004]

The issue has been assigned on FCFS basis. @Subhranil2004 Do follow the project guidelines for PR.

Ok I'll follow the guidelines.
Can you kindly assign the level (1/2/3) label as well @invigorzz313

Procedure :

• I'll preprocess the images
• Do data augmentation
• Test with manual CNN models
• Experiment with Transfer Learning of pre trained models for image classification
• Document the results with graphs
• Create a web-app for interactive user interface for predicting images : Viral, bacterial or normal.

[invigorzz313]

The label assigning will be done on the submitted PR after reviewing it.

[Subhranil2004]

@invigorzz313 kindly check my pull request and confirm if everything is ok.