Multi-task deep learning for medical image computing and analysis: A review

Y Zhao, X Wang, T Che, G Bao, S Li - Computers in Biology and Medicine, 2023 - Elsevier
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …

FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound

C Chen, X Yang, Y Huang, W Shi, Y Cao, M Luo… - Medical Image …, 2024 - Elsevier
Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal
anatomical landmarks. Its primary objective is to provide comprehensive information about …

[HTML][HTML] A deep-learning aided diagnostic system in assessing developmental dysplasia of the hip on pediatric pelvic radiographs

W Xu, L Shu, P Gong, C Huang, J Xu, J Zhao… - Frontiers in …, 2022 - frontiersin.org
Background Developmental dysplasia of the hip (DDH) is a common orthopedic disease in
children. In clinical surgery, it is essential to quickly and accurately locate the exact position …

[HTML][HTML] Development of a fully automated graf standard plane and angle evaluation method for infant hip ultrasound scans

T Chen, Y Zhang, B Wang, J Wang, L Cui, J He, L Cong - Diagnostics, 2022 - mdpi.com
Background: Graf's method is currently the most commonly used ultrasound-based
technique for the diagnosis of developmental dysplasia of the hip (DDH). However, the …

Medimatrix: innovative pre-training of grayscale images for rheumatoid arthritis diagnosis revolutionises medical image classification

L Liu, Y Zhang, L Sun - Health Information Science and Systems, 2023 - Springer
Efficient and accurate medical image classification (MIC) methods face two major
challenges:(1) high similarity between images of different disease classes; and (2) …

Involution Transformer based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH

T Huang, J Shi, J Li, J Wang, J Du… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The B-mode ultrasound based computer-aided diagnosis (CAD) has demonstrated its
effectiveness for diagnosis of Developmental Dysplasia of the Hip (DDH) in infants, which …

Artificial Intelligence‐Assisted Ultrasound Diagnosis on Infant Developmental Dysplasia of the Hip Under Constrained Computational Resources

B Huang, B Xia, J Qian, X Zhou, X Zhou… - … of Ultrasound in …, 2023 - Wiley Online Library
Objectives Ultrasound (US) is important for diagnosing infant developmental dysplasia of the
hip (DDH). However, the accuracy of the diagnosis depends heavily on expertise. We aimed …

[HTML][HTML] Semi-supervised learning in diagnosis of infant hip dysplasia towards multisource ultrasound images

X Li, R Zhang, Z Wang, J Wang - Quantitative Imaging in Medicine …, 2024 - ncbi.nlm.nih.gov
Background Automated diagnosis of infant hip dysplasia is heavily affected by the individual
differences among infants and ultrasound machines. Methods Hip sonographic images of …

Radiographic Assessment of Hip Disease in Children with Cerebral Palsy: Development of a Core Measurement Set and Analysis of an Artificial Intelligence System

PJS Joseph - 2022 - search.proquest.com
Cerebral palsy is the most common physical disability during childhood. Cerebral palsy
related hip disease is caused by an imbalance of muscle forces, resulting in progressive …

Clinical study on ultrasonic artificial intelligence-assisted diagnosis of developmental hip dysplasia in children

SC Zhang, HL Ma, XW Sun, QJ Wu, JY Xu, J Sun - 2023 - researchsquare.com
Background: Developmental hip dysplasia (DDH) is a common pediatric disease. For
patients younger than 6 months of age, ultrasound diagnosis is more suitable for screening …