胸部多种疾病的X射线图像分类基于全球和本地融合自适应网络

Yu Gu1, Ru Shi1, Shuaikang Yang1

  • 1Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China.

Current medical imaging
|August 16, 2024
PubMed
概括

通过使用先进的深度学习,MMPDenseNet网络提高了0.6%的胸部X射线疾病分类准确度. 这种计算机视觉模型增强了医疗图像中多种病理的识别.