kaushikjadhav01 / COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

Date Created 2020-05-29 (4 years ago)
Commits 26 (last one about a year ago)
Stargazers 126 (0 this week)
Watchers 7 (0 this week)
Forks 80
License mit
Ranking

RepositoryStats indexes 616,225 repositories, of these kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans is ranked #257,116 (58th percentile) for total stargazers, and #273,826 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,215/18,359.

kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans is also tagged with popular topics, for these it's ranked: machine-learning (#4,309/8259),  covid-19 (#132/316),  coronavirus (#59/138),  covid19 (#47/114)

Other Information

kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans has Github issues enabled, there is 1 open issue and 9 closed issues.

There have been 1 release, the latest one was published on 2024-01-13 (about a year ago) with the name v1.1.0.

Homepage URL: https://towardsdatascience.com/covid-19-detector-flask-app-based-on-chest-x-rays-and-ct-scans-using-deep-learning-a0db89e1ed2a

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19 commits on the default branch (master) since jan '22

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updated: 2025-01-21 @ 06:23pm, id: 267851869 / R_kgDOD_cYXQ