A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry-Reference-Cited by-同舟云学术

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A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry

Published:2021-05 Issue: Volume:115 Page:102057
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Memiş Abbas,Varlı Songül,Bilgili Fuat

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference48 articles.

1. Statistical shape modeling of musculoskeletal structures and its applications;Lamecker;Computational radiology for orthopaedic interventions,2016

2. Statistical shape models for 3D medical image segmentation: A review;Heimann;Med Image Anal,2009

3. Statistical shape models for 3D medical image segmentation;Heimann,2009

4. Active shape models-their training and application;Cootes;Comput Vis Image Understand,1995

5. Active appearance models;Cootes;European conference on computer vision,1998

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1. An AI based classifier model for lateral pillar classification of Legg–Calve–Perthes;Scientific Reports;2023-04-27

2. A Symmetry-Based Superposition Method for Planning and Surgical Outcome Assessment;Bioengineering;2023-03-06

3. Deep learning with multiresolution handcrafted features for brain MRI segmentation;Artificial Intelligence in Medicine;2022-09

4. Image based quantification of the proximal femur shape deformities in 3D by using the contralateral healthy shape structure: A preliminary study;Biomedical Signal Processing and Control;2022-01

5. Random Point Sub-sampling in Rigid Registration of 2D Proximal Femur Surfaces;2021 29th Signal Processing and Communications Applications Conference (SIU);2021-06-09

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