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abhisheks008 / ML-Crate

ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!šŸŒŸšŸ’« Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
https://quine.sh/repo/abhisheks008-ML-Crate-409463050
MIT License
191 stars 217 forks source link

Lung Segmentation Model #113

Open abhisheks008 opened 2 years ago

abhisheks008 commented 2 years ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Lung Segmentation Model :red_circle: Aim : This project will help us to segment the lungs and identify accordingly. :red_circle: Dataset : https://www.kaggle.com/datasets/farhanhaikhan/unet-lung-segmentation-weights-for-chest-x-rays :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program and JWOC '22 Open Source Program.

šŸ“ Follow the Guidelines to Contribute in the Project :

:red_circle::yellow_circle: Points to Note :

:white_check_mark: To be Mentioned while taking the issue :

Happy Contributing šŸš€

All the best. Enjoy your open source journey ahead. šŸ˜Ž

TheDarkParalda commented 1 year ago

Full name : Evan Joshy Chittilappilly GitHub Profile Link : https://github.com/TheDarkParalda Participant ID : ? Approach for this Project : CNN Models : VGGNET, ImageNET, ResNet and InceptionNet

abhisheks008 commented 1 year ago

Issue assigned to you but please complete the previous one. @TheDarkParalda

TheDarkParalda commented 1 year ago

Unassign me in this. Sorry.

Dyuksha27 commented 8 months ago

Full name: Dyuksha Singla GitHub profile link: https://github.com/Dyuksha27 Participation ID: NA Approach for this project: First I'll be analysing and then extract the data and after that I'll look for any missing values in the data if any. Finally, I'll create and train the model.

Dyuksha27 commented 8 months ago

Hi, The link mentioned under the dataset section isn't working. If possible can you provide me with the correct dataset link if this issue is assigned to me.

abhisheks008 commented 8 months ago

Updated the dataset. What are the models you are planning to use here? And in which open source event are you in? @Dyuksha27

Dyuksha27 commented 8 months ago

Thank you for updating the dataset. I'm planning to use logistic regression, kNN as of now. As I'm new to this so I would like to explore more while working on it and will try to implement the same to make it better. Participant role: JWOC 2024

abhisheks008 commented 8 months ago

You have to use deep learning models as this dataset contains X-ray images, normal machine learning models can't handle the noise. Can you do that? And you need to implement at least 3-4 deep learning methods for this project tbh!

Dyuksha27 commented 8 months ago

I'll try my best and will do it. If at any point I need your guidance I'll ask you.

abhisheks008 commented 8 months ago

Cool, issue assigned to you @Dyuksha27

Praneet0327 commented 3 months ago

Full name : Praneet Singh GitHub Profile Link : https://github.com/Praneet0327 LinkedIn Profile : https://www.linkedin.com/in/praneet-s-1279b3225/ Participant ID : N.A. Approach for this Project : I will primarily work with the U-Net architecture due to its effectiveness in medical image segmentation and will study and explore newer deep learning architectures along the way. The trained model will be saved and deployed using Streamlit or Flask for practical use, with plans for continuous improvement based on new data and feedback. Participation role : SSOC'24 Contributor

Requesting you to assign this issue to me.

abhisheks008 commented 3 months ago

Full name : Praneet Singh GitHub Profile Link : https://github.com/Praneet0327 LinkedIn Profile : https://www.linkedin.com/in/praneet-s-1279b3225/ Participant ID : N.A. Approach for this Project : I will primarily work with the U-Net architecture due to its effectiveness in medical image segmentation and will study and explore newer deep learning architectures along the way. The trained model will be saved and deployed using Streamlit or Flask for practical use, with plans for continuous improvement based on new data and feedback. Participation role : SSOC'24 Contributor

Requesting you to assign this issue to me.

Need to implement 3-4 models for this project. Find out the best fitted one based on the accuracy scores of the models. Then implement the best fitted model for the web app.

Assigned to you @Praneet0327

Praneet0327 commented 3 months ago

Sure thing! Thanks

Praneet0327 commented 2 months ago

Kindly unassign me. I won't be able to contribute further due to some personal commitments. Sorry for the inconvenience.

Diishasing commented 1 month ago

Hi @abhisheks008 Full name : Disha singh GitHub Profile Link : https://github.com/Diishasing LinkedIn Profile : https://www.linkedin.com/in/diishasiing/ Participant ID : N.A. Approach for this Project : I would first take the lung dataset so I can segment it with the unet model and specific weights that you have provided and before this I would be completely visualizing the lung segment dataset and how to load the images properly. other than unet models I can also apply different other models for segmentation task and also I would be applying different accuracy metrices and measures to calculate the error. Participation role : Github Contributor with maximum effort.

Please assign it to me, Thanks!

abhisheks008 commented 1 month ago

Hi @abhisheks008 Full name : Disha singh GitHub Profile Link : https://github.com/Diishasing LinkedIn Profile : https://www.linkedin.com/in/diishasiing/ Participant ID : N.A. Approach for this Project : I would first take the lung dataset so I can segment it with the unet model and specific weights that you have provided and before this I would be completely visualizing the lung segment dataset and how to load the images properly. other than unet models I can also apply different other models for segmentation task and also I would be applying different accuracy metrices and measures to calculate the error. Participation role : Github Contributor with maximum effort.

Please assign it to me, Thanks!

Are you participating in any open source event or you are contributing at your own?

Diishasing commented 1 month ago

Currently contributing on my own.