Closed abhisheks008 closed 2 years ago
SARS COV 2 CT Scan Classification #76 pls assign this to me
Can you explain your approach please @KushagraTomar
tBasic Idea: thinking of using a predefined model like DenseNet or vgg16 if the model shows decent accuracy else I will need to create a CNN model from scratch that performs well
???
Sorry for the inconvenience caused, @KushagraTomar issue assigned to you. You can start working on it.
Best wishes 🚀
@abhisheks008 what exact changes are required ... my pull request shows changes requested
I have commented there in the pull request check that.
hey, I am sorry to bother you like you said you have commented on the issue in the pull request but I am still not able to see it... If possible can you reply here . It would be really helpful for me
Remove the Heartbeat Classification using ECG/requirements.txt
file. This is causing a merging issue and your PR couldn't be merged unless and until you fix this.
Check your PR here, https://github.com/abhisheks008/DL-Simplified/pull/91. I have commented out the changes to be done here.
@KushagraTomar
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : SARS COV 2 CT Scan Classification :red_circle: Aim : An image processing model to identify the images of SARS COV 2 affected patients. :red_circle: Dataset : https://www.kaggle.com/datasets/plameneduardo/sarscov2-ctscan-dataset :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.
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎