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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Gastrointestinal Multiclass Classification: Diverticulosis, Neoplasm, Peritonitis, and Ureters #589

Open Invincible1602 opened 3 months ago

Invincible1602 commented 3 months ago

Hey, @Niketkumardheeryan,

Identifying gastrointestinal conditions from medical images is crucial for accurate diagnosis and treatment planning. However, distinguishing between various conditions such as Diverticulosis, Neoplasm, Peritonitis, and Ureters can be challenging without automated classification systems.

I would like to develop a multiclass classification system capable of accurately identifying different gastrointestinal conditions from medical images. This system should be trained on a diverse dataset covering a wide range of conditions, including Diverticulosis, Neoplasm, Peritonitis, and Ureters.

One alternative solution is to manually analyze each medical image, which is time-consuming and prone to human error. Another option is to develop separate binary classification models for each condition, but this approach may not efficiently utilize the available data and could lead to suboptimal performance.

The proposed system aims to improve the efficiency and accuracy of diagnosing gastrointestinal conditions, ultimately benefiting both patients and healthcare providers.

I'm enthusiastic about contributing, and I firmly believe that integrating this model aligns with our mission of advancing overall well-being. Please assign me the issue.

github-actions[bot] commented 3 months ago

Thanks for creating the issue

Niketkumardheeryan commented 3 months ago

Assigned to you , PLease follow Project guidelines for before making a PR.