本项目实现了一个基于深度学习的胸部X线图像肺炎分类系统,用于自动识别儿科患者的胸部X线图像中是否存在肺炎(正常/肺炎)。系统采用了多种先进的深度学习模型,包括ResNet50、EfficientNet、Vision Transformer (ViT)和Swin Transformer,并支持模型集成。
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Updated
Apr 17, 2025 - Python
本项目实现了一个基于深度学习的胸部X线图像肺炎分类系统,用于自动识别儿科患者的胸部X线图像中是否存在肺炎(正常/肺炎)。系统采用了多种先进的深度学习模型,包括ResNet50、EfficientNet、Vision Transformer (ViT)和Swin Transformer,并支持模型集成。
This project provides automated classification between Normal and Pneumonia cases with confidence scores and visual heatmaps.
My projects and practices on various segments of machine learning and deep learning.
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