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Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet

Xiaolu Zhang1, Yiqiang Zheng1, Xiaoming Bai1

  • 1Department of Orthopedics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, China.

Computer Methods and Programs in Biomedicine
|September 27, 2022
PubMed
Summary

This study introduces a novel two-stage network for segmenting femur X-ray images, improving accuracy and efficiency in medical image analysis for fracture detection.

Keywords:
Femoral imageImage SegmentationMedical diagnosisTwo-stage convolutional networkUnet

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