pytorch_deep_learning_medimg_tutorial

pytorch_deep_learning_medimg_tutorial

ChiShengChen

This project simply implements three common deep learning models (VGG16, ResNet18, ViT) for medical image classification tasks using the PathMNIST dataset.

20 Stars
3 Forks
20 Watchers
Python Language
100 SrcLog Score
Cost to Build
$2.0K
Market Value
$2.7K

Growth over time

3 data points  ·  2026-04-08 → 2026-04-23
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What is the ChiShengChen/pytorch_deep_learning_medimg_tutorial GitHub project? Description: "This project simply implements three common deep learning models (VGG16, ResNet18, ViT) for medical image classification tasks using the PathMNIST dataset.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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