Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach-Reference-Cited by-同舟云学术

Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach

Published:2024-07-18 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Amiya Gautam,Murugan Pallikonda Rajasekaran^ORCID,Ramaraj Kottaimalai,Govindaraj Vishnuvarthanan,Vasudevan Muneeswaran,Thirumurugan M.,Zhang Yu-Dong,Abdullah S. Sheik,Thiyagarajan Arunprasath

Funder

Department of Science and Technology, India

British Heart Foundation Accelerator Award, UK

Royal Society International Exchanges Cost Share Award, UK

Hope Foundation for Cancer Research, UK

Medical Research Council Confidence in Concept Award, UK

Sino-UK Industrial Fund, UK

Global Challenges Research Fund (GCRF), UK

LIAS Pioneering Partnerships award, UK

Data Science Enhancement Fund, UK

Fight for Sight, UK

Sino-UK Education Fund, UK

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00500-024-09900-y.pdf

Reference23 articles.

1. Chandran M, Kwee A (2022) Treatment indications and thresholds of intervention: consensus and controversies in osteoporosis. Climacteric 25(1):29–36. https://doi.org/10.1080/13697137.2021.1951205

2. Chen HC, Widodo AM, Wisnujati A, Rahaman M, Lin JCW, Chen L, Weng CE (2022a) AlexNet convolutional neural network for disease detection and classification of tomato leaf. Electronics 11(6):951. https://doi.org/10.3390/electronics11060951

3. Chen J, Yang N, Zhou M, Zhang Z, Yang X (2022b) A configurable deep learning framework for medical image analysis. Neural Comput Appl 34(10):7375–7392. https://doi.org/10.1007/s00521-021-06873-z

4. Choi HG, Kim SY, Kwon BC, Kang HS, Lim H, Kim JH, Kim JH, Cho SJ, Nam ES, Min KW, Park HY (2022) Comparison of the coincidence of osteoporosis, fracture, arthritis histories, and DEXA T-Score between monozygotic and dizygotic twins: a cross-sectional study using KoGES HTS data. Nutrients 14(18):3836. https://doi.org/10.3390/nu14183836

5. Frysz M, Faber BG, Ebsim R, Saunders FR, Lindner C, Gregory JS, Tobias JH (2022) Machine learning-derived acetabular dysplasia and cam morphology are features of severe hip osteoarthritis: findings from UK Biobank. J Bone Miner Res. https://doi.org/10.1002/jbmr.4649