Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet-Reference-Cited by-同舟云学术

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

Published:2022-11 Issue: Volume:226 Page:107110
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zhang Xiaolu,Zheng Yiqiang,Bai Xiaoming,Cai Liquan,Wang Liangming,Wu Shiqiang,Ke Qingfeng,Huang Jianlong

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference44 articles.

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3. Intertrochanteric femur fracture treatment in Asia: what we know and what the world can learn[J];Chang;Orthop. Clin.,2020

4. Ultrasound-guided detection and segmentation of photoacoustic signals from bone tissue in vivo[J];Feng;Appl. Sci.,2020

5. Current methods in medical image segmentation[J];Pham;Annu. Rev. Biomed. Eng.,2000

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