aaradhyasinghgaur commented 3 weeks ago

Pull Request for DL-Simplified 💡

Issue Title : Chest X-ray - Tuberculosis Disease Prediction

Info about the related issue (Aim of the project) : To predict and classify between Normal x-ray and tuberculosis diseases using chest X-ray images, a convolutional neural network (CNN) can be employed. This deep learning model will process the X-ray images to identify characteristic features and patterns indicative of each disease. The trained model will output a probability score for each disease, allowing for accurate and efficient diagnosis based on the visual data contained in the chest X-rays.
Name: Aaradhya Singh
GitHub ID: https://github.com/aaradhyasinghgaur
Email ID: aaradhyasinghgaur@gmail.com
Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) GSSOC-2024 Contributor

Closes: #755

Data Preparation: Collect and preprocess a balanced dataset of real and fake face images, including normalization, resizing, and augmentation.
Base Model Selection: EfficientNetB0,VGG16 , Xception , InceptionV3 like 5 different models excluding its top layers, to leverage its learned features.
Model Construction: Add custom layers on top of the base model for binary classification, compiling with appropriate loss and metrics.
Initial Training: Train the model with the base layers frozen to only update the new layers.
Fine-Tuning: Unfreeze some or all of the base model layers and continue training with a lower learning rate to fine-tune the entire network. 6.) EDA analysis. 7.) Comaprioson using performance matrices such as accuracy scores , confusion matrix etc.

What sort of change have you made:

[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Code style update (formatting, local variables)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update

Describe how it has been tested Describe how have you verified the changes made

[x] My code follows the guidelines of this project.
[x] I have performed a self-review of my own code.
[x] I have commented my code, particularly wherever it was hard to understand.
[x] I have made corresponding changes to the documentation.
[ ] My changes generate no new warnings.
[x] I have added things that prove my fix is effective or that my feature works.
[ ] Any dependent changes have been merged and published in downstream modules.

github-actions[bot] commented 3 weeks ago

Our team will soon review your PR. Thanks @aaradhyasinghgaur :)

aaradhyasinghgaur commented 3 weeks ago

@abhisheks008 kindly review my pr and assign me new issue if possible . Thank you