search

SrijanShovit / HealthLearning

A repo comprising of various Machine Learning and Deep Learning projects in healthcare domain.
38 stars 53 forks source link

Add COVID19-X Ray Image Classification #195

Closed pavitraag closed 2 months ago

pavitraag commented 3 months ago

Is your feature request related to a problem? Please describe.

The main purpose of this project is to classify between X-Ray Images to find X-rays for COVID-19 from the dataset (mentioned below) using various image detection/recognition models and comparing their accuracy.

Describe the solution you'd like along with reference dataset.

The link to the dataset is given below :-

Link :- https://www.kaggle.com/datasets/pranavraikokte/covid19-image-dataset

This project involves the comparative analysis of Five Keras image detection models, namely MobileNetV2 , VGG16 , InceptionV3 , DenseNet121 and Xception applied to a specific dataset. The dataset consists of annotated images related to a particular domain, and the objectives include training and evaluating these models to compare their accuracy scores and performance metrics. Additionally, exploratory data analysis (EDA) techniques are employed to understand the dataset's characteristics, explore class distributions, detect imbalances, and identify areas for potential improvement. The methodology encompasses data preparation, model training, evaluation, comparative analysis of accuracy and performance metrics, and visualization of EDA insights.

Code of Conduct

github-actions[bot] commented 3 months ago

Congratulations, @pavitraag! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

github-actions[bot] commented 2 months ago

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!