MPF-net: An effective framework for automated cobb angle estimation-Reference-Cited by-同舟云学术

MPF-net: An effective framework for automated cobb angle estimation

Published:2022-01 Issue: Volume:75 Page:102277
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Zhang Kailai,Xu Nanfang,Guo Chenyi,Wu Ji

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference36 articles.

1. Automatic extraction of vertebral endplates from scoliotic radiographs using customized filter;Anitha;Biomed. Eng. Lett.,2014

2. Automatic quantification of spinal curvature in scoliotic radiograph using image processing;Anitha;J. Med. Syst.,2012

3. Accurate Automated Keypoint Detections for Spinal Curvature Estimation;Chen,2020

4. Outline for the study of scoliosis;Cobb;Instruct. Course Lect.,1947

5. Fast R-CNN;Girshick;Comput. Sci.,2015

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis;Medical & Biological Engineering & Computing;2024-08-16

2. Automated diagnosis of cervical spine physiological curvature based on deep neural networks with transformer by using nmODE;Applied Intelligence;2024-08-14

3. Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups;Scientific Reports;2024-08-03

4. Artificial Intelligence in Musculoskeletal Radiographs: Scoliosis, Hip, Limb Length, and Lower Extremity Alignment Measurements;Seminars in Roentgenology;2024-06

5. Comparative Accuracy of Three Artificial Intelligence Algorithms for Automatic Cobb Angle Measurement in Scoliosis: An Analysis Using Disease-specific Teaching Data;2024-04-29