本项目基于公开的胸部X光图像数据集，旨在实现对肺炎（包括细菌性肺炎、病毒性肺炎和正常）进行自动分类。项目采用了基于Vision Transformer（ViT）的深度学习模型，包含了数据预处理、模型训练、验证、推理等完整流程。通过本项目，可以高效地对胸片进行智能诊断辅助，提升医学影像分析的效率和准确性。项目适合医学人工智能、深度学习图像分类等相关领域的学习与研�
active 2025-05-28 → 2025-07-09 (UTC)
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