Closed Kaushal-11 closed 3 months ago
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@SrijanShovit , Can i start to work on this feature??
i want to work on this issue,. Please assign to me under Gssoc'24
Yes @Kaushal-11 proceed
https://github.com/SrijanShovit/HealthLearning/pull/56 go through this first
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any updates @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.
why is my issue is closed? I am working on this issue..
Automation stuff. Just make a documentation of your approach as well.
Could you please provide me with a reference or guide on how to document my process?
You can check the codes of @Arihant-Bhandari under Metabolic Syndrome, @aditi1807 under Cirrhosis and @theiturhs under MRI Classification
Okay, got it
I created pull request yesterday, can you check it?
Hello @SrijanShovit , can you check my stuff?
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!
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
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