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一个用于肺炎图像分类的轻量级ResNet18-SAM模型实现,采用SH-DCGAN生成少类样本数据,解决了数据不平衡的问题,同时结合剪枝策略实现轻量化!MedGAN-ResLite-V2 Released! Stay tuned!❤

License: Apache License 2.0

Python 100.00%
augmentation medical-image-processing medmnist resnet lightweight-neural-network classification cnn dcgan spatial-attention deep-learning

medgan-reslite's Introduction

Hi there 👋

Welcome to my coding haven where pixels turn into magic!

  • 🔭 Currently working on: My graduation project titled "Study on Few-shot Enhancement for Pneumonia Image Classification and Lightweight Research". It's expected to be completed around May, after which I'll update the MedGAN-ResLite project.

  • 🌱 I’m currently learning:

    • C++
    • Generative Adversarial Networks (GANs)
    • Medical Image Processing
  • 🤔 I’m looking for help with:

    • Tricks for Improving DCGAN networks
    • Introducing residual connections in DCGAN networks effectively
    • How to Balancing the generator and discriminator when training
  • 💬 Ask me about:

    • Image classification
    • Image generation
    • OpenVINO model deployment
    • Model pruning
  • 📫 How to reach me:

    • If you're my classmate, you can find me directly at the dormitory~~
    • If you're my junior, we might meet on campus.
    • If we haven't met before, you can reach me on my [Zhihu] or [CSDN] profiles.

Feel free to join me in this electrifying escapade as we decode the universe's secrets, one line of code at a time! 💻✨

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