English(EN) Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models

ResNet50 在 X 光片肺部疾病分类方面优于 VGG 模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-30 04:00

研究人员探索了深度学习模型 VGG16、VGG19 和 ResNet50 对 X 光图像肺部疾病进行分类的有效性。该研究在大型 X 光图像数据集上训练了这些模型，以识别肺炎、肺结核和肺癌等病症。结果表明，虽然所有模型表现良好，但 ResNet50 在疾病分类方面表现出更高的准确性和效率。 AI

影响这项研究证明了像 ResNet50 这样的深度学习模型在呼吸系统疾病的早期准确诊断方面的潜力，这可以改善患者的治疗效果。

排序理由该集群包含一篇在 arXiv 上发表的研究论文，详细介绍了深度学习模型在医学图像分类方面的性能。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Nand Lal Yadav, Rajesh Kumar, Satyendra Singh, Sudhakar Singh · 2026-07-30 04:00

使用VGG16、VGG19和ResNet50模型对肺部X光图像进行疾病分类

arXiv:2607.26580v1 Announce Type: cross Abstract: With the increase in the number of cases related to respiratory diseases, there is an urgent need to detect them early and diagnose them accurately. Convolutional neural networks have given promising results when used for diagnosi…