journal article Open Access Mar 01, 2026

Flatfoot disorder recognition based on the YOLO-ChA algorithm

Array Vol. 29 pp. 100699 · Elsevier BV
View at Publisher Save 10.1016/j.array.2026.100699
Topics

No keywords indexed for this article. Browse by subject →

References
28
[1]
Sepasi (1997)
[2]
Akhavi Rad "Prevalence of foot and knee deformities among high school female students in Tehran District No. 5" Hakim Res J (2006)
[3]
Multi-column deep neural network for traffic sign classification

Dan Cireşan, Ueli Meier, Jonathan Masci et al.

Neural Networks 2012 10.1016/j.neunet.2012.02.023
[4]
Sheikhani "Analysis of quantitative electroencephalogram background activity in autism disease patients with Lempel–Ziv complexity and short-time Fourier transform measure" (2007)
[5]
S. Marrone, S. Olivieri, G. Piantadosi, and C. Sansone, “Reproducibility of deep CNN for biomedical image processing across frameworks and architectures,”, in Proc. 27th eur. Signal process. 2019, Conf. (EUSIPCO), A Coruña, Spain. 10.23919/eusipco.2019.8902690
[6]
A survey on deep learning in medical image analysis

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi et al.

Medical Image Analysis 2017 10.1016/j.media.2017.07.005
[7]
Razzak "Deep learning for medical image processing: overview, challenges and the future" (2018)
[8]
Li "HEp-2 specimen image segmentation and classification using very deep fully convolutional networks" IEEE Trans Med Imag (2017) 10.1109/tmi.2017.2672702
[9]
Redmond "Normative values for the Foot Posture Index" J Foot Ankle Res (2008) 10.1186/1757-1146-1-6
[10]
Erol "Flexible flatfoot and related factors in primary school children: a report of a screening study" Rheumatol Int (2006) 10.1007/s00296-006-0128-1
[11]
Staheli "The longitudinal arch. A survey of eight hundred and eighty-two feet in normal children and adults" J Bone Joint Surg (1987) 10.2106/00004623-198769030-00014
[12]
Wafai "Automated classification of plantar pressure asymmetry during pathological gait using artificial neural networks" Sensors (2015) 10.3390/s150820392
[13]
Hill "Prevalence and correlates of foot pain in a population-based study: the North West Adelaide Health Study" J Foot Ankle Res (2008) 10.1186/1757-1146-1-2
[14]
Khandoker "Wavelet-based feature extraction and support vector machines for screening balance impairments in the elderly" IEEE Trans Neural Syst Rehabil Eng (2007) 10.1109/tnsre.2007.906961
[15]
Al-Daffaie "Plantar pressure characteristics in obese individuals: a proposed methodology" (2019)
[16]
Castro "Plantar pressure measurement system with improved isolated drive feedback circuit and ANN: development and characterization" IEEE Sens J (2020) 10.1109/jsen.2020.2998700
[17]
Abbas "Relationships between foot dimensions and plantar pressure distributed in older people" Proc IEEE Conf (2020)
[18]
Kim "Flatfoot prediction based on a designed wearable sensing shoe and a PCA-based deep neural network model" IEEE Access (2020)
[19]
Zhang "Development of image processing based on deep learning algorithm" (2022)
[20]
Muhsin "The impact of flat foot on the clinical measurement of foot posture and dynamic balance" (2023)
[21]
Nugroho "Scales feature foot scanners as parameters of flat foot in children" Proc 2nd Int Conf Inform Sci Technol Innov (2023)
[22]
Gül "A novel deep transfer learning-based approach for automated pes planus diagnosis using X-ray image" Diagnostics (2023) 10.3390/diagnostics13091662
[23]
Ryu "Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs" Eur Radiol (2023) 10.1007/s00330-023-09442-1
[24]
Zhang "YOLOv5-CE-DAFF: an enhanced YOLOv5 model with coordinated CBAM–ECA attention and adaptive feature fusion for colorectal polyp detection" Soft Comput (2025) 10.1007/s00500-025-10895-3
[25]
Liao "A deep learning-based plantar pressure measurement system for accurate foot arch index estimation" Appl Sci (2025)
[26]
Agrawal "Smart insole-based plantar pressure analysis for healthy and diabetic feet classification: statistical vs. machine learning approaches" Technologies (2024) 10.3390/technologies12110231
[27]
Parashar
[28]
Wang "YOLO-FMS: a fast multi-scale smear cell detection network with CBAM-based attention and Tiny-SPPCSPC fusion" IEEE Access (2024)
Metrics
0
Citations
28
References
Details
Published
Mar 01, 2026
Vol/Issue
29
Pages
100699
License
View
Cite This Article
Raheleh Khaleghizadeh, Sara Motamed, Elham Askari (2026). Flatfoot disorder recognition based on the YOLO-ChA algorithm. Array, 29, 100699. https://doi.org/10.1016/j.array.2026.100699
Related

You May Also Like

Data augmentation: A comprehensive survey of modern approaches

Alhassan Mumuni, Fuseini Mumuni · 2022

730 citations

Transformer-based deep learning models for the sentiment analysis of social media data

Sayyida Tabinda Kokab, Sohail Asghar · 2022

160 citations

Security challenges to smart agriculture: Current state, key issues, and future directions

Angelita Rettore de Araujo Zanella, Eduardo da Silva · 2020

141 citations

The role of agentic AI in shaping a smart future: A systematic review

Soodeh Hosseini, Hossein Seilani · 2025

114 citations