Web-app-Gastroscopic-Lesion-Classifier

Web-app-Gastroscopic-Lesion-Classifier

anh-nn01

A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.

2 Stars
0 Forks
2 Watchers
HTML Language
Cost to Build
$3.71M
Market Value
$1.34M

Growth over time

2 data points  ·  2022-02-02 → 2022-05-26
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What is the anh-nn01/Web-app-Gastroscopic-Lesion-Classifier GitHub project? Description: "A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.". Written in HTML. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Web-app-Gastroscopic-Lesion-Classifier

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git clone https://github.com/anh-nn01/Web-app-Gastroscopic-Lesion-Classifier.git

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[email protected]:anh-nn01/Web-app-Gastroscopic-Lesion-Classifier.git

Download ZIP

Download master.zip

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