Polyp Segmentation in Endoscopy Image

[Kaushal-11]

Is your feature request related to a problem? Please describe.

I propose to add a feature for Polyp Segmentation using an endoscopy image dataset. This feature aims to improve the detection and segmentation of polyps in endoscopic images, which is crucial for early diagnosis and treatment of colorectal cancer.

Kindly assign me the issue under the label of GSSoC'24.

Describe the solution you'd like

Dataset Link : https://polyp.grand-challenge.org/CVCClinicDB/

Model : U - Net model is used for segmentation with using tensorflow library.

Data Preprocessing: Using Pandas and NumPy for cleaning, normalizing, and preparing the dataset.
Model Development: Leveraging TensorFlow and Keras to build and train a deep learning model for polyp segmentation.
Evaluation: Implementing techniques to evaluate model performance, such as IoU (Intersection over Union) and Dice coefficient, to ensure high accuracy and precision.

Describe alternatives you've considered

No response

Additional context

No response

Code of Conduct

• I agree to follow this project's Code of Conduct

[github-actions]

Congratulations, @Kaushal-11! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

[Kaushal-11]

@SrijanShovit , Can i start to work on this feature??

[Kaushal-11]

i want to work on this issue,. Please assign to me under Gssoc'24

[SrijanShovit]

Yes @Kaushal-11 proceed

[SrijanShovit]

#56 go through this first

[github-actions]

This issue has been automatically closed because it has been inactive for more than 7 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!

[SrijanShovit]

any updates @Kaushal-11

[Kaushal-11]

Yes, the task is almost complete.
The model's training accuracy has reached 0.96, and the validation accuracy is at 0.93.

[Kaushal-11]

why is my issue is closed?
I am working on this issue..

[SrijanShovit]

Automation stuff. Just make a documentation of your approach as well.

[Kaushal-11]

Could you please provide me with a reference or guide on how to document my process?

[SrijanShovit]

You can check the codes of @Arihant-Bhandari under Metabolic Syndrome, @aditi1807 under Cirrhosis and @theiturhs under MRI Classification

[Kaushal-11]

Okay, got it

[Kaushal-11]

I created pull request yesterday,
can you check it?

[Kaushal-11]

Hello @SrijanShovit ,
can you check my stuff?

[github-actions]

This issue has been automatically closed because it has been inactive for more than 7 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!