[Project Addition]: Breast Cancer Detection using DL - with Web App

[TechieSamosa]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Breast Cancer Detection
:red_circle: Aim : To develop a model for detecting breast cancer using deep learning techniques.
:red_circle: Dataset : CSV dataset with numerical and categorical features related to breast cancer.
:red_circle: Approach : Implement Neural Network for Regression using a CSV dataset with numerical features, Neural Network for Binary Classification using a CSV dataset with categorical and numerical features, and convert a logistic regression model into a deeper neural network with 7 layers. Compare the performance of these models to find the best-fitted algorithm by checking the accuracy scores. Also, perform exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute to the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Aditya Khamitkar
• GitHub Profile Link : GitHub
• Email ID : thenaivesamosa@gmail.com
• Approach for this Project : Implement Neural Network for Regression, Neural Network for Binary Classification, and convert a logistic regression model into a deeper neural network with 7 layers. Compare the performance of these models.
• What is your participant role? (Mention the Open Source program): Contributor at GSSoC 2024

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Happy Contributing 🚀

All the best. Enjoy your open-source journey ahead. 😎

[abhisheks008]

Hi @TheNaiveSamosa thanks for creating the new issue. Are you able to find out a dataset which contains images, so that you can process the images to get the proper prediction. It'll combine the CNN models too.

[Vis1hal]

please assign this issue to me , I have already made some project on CNN model based project

[TechieSamosa]

@abhisheks008 I have images of Breast Histopathology but the thing is its maximum F1 is possible is 0.85. I did a model on that. Will try to increase accuracy this time. And will also try to find out if I can work on the model with Mammogram or Ultra Sound Images. Please do assign it to me.

[abhisheks008]

@abhisheks008 I have images of Breast Histopathology but the thing is its maximum F1 is possible is 0.85. I did a model on that. Will try to increase accuracy this time. And will also try to find out if I can work on the model with Mammogram or Ultra Sound Images. Please do assign it to me.

Cool, looks good to me. Assigned to you @TheNaiveSamosa.

Hi @Vis1hal thanks for showing up here. This issue is raised by the contributor that's why I assigned him this one. The issues which are raised by the username abhisheks008, are open for all, you can find them in the issues section by the Status: Up for Grabs.

[TechieSamosa]

I also adding a web app to this project. Similar to previous one.

[abhisheks008]

I also adding a web app to this project. Similar to previous one.

Cool! That's good, really appreciated your efforts.

[TechieSamosa]

Can I get a few more days for this. Still working on the code. There isn't any time limit for each issue right?

[abhisheks008]

Can I get a few more days for this. Still working on the code. There isn't any time limit for each issue right?

No issues with that, take your time.

[TechieSamosa]

Hey. I'm almost done with the project. I will push the code soon. Could you once again recheck the level of this issue. I think the project was at a good level and time taking too.

[abhisheks008]

Hey. I'm almost done with the project. I will push the code soon. Could you once again recheck the level of this issue. I think the project was at a good level and time taking too.

Create your PR and let us review the code. Depending on the quality of the codes issues can be re-lablled.

[TechieSamosa]

Yes, PR has been created.

[github-actions[bot]]

Hello @TheNaiveSamosa! Your issue #554 has been closed. Thank you for your contribution!