Multi-task deep learning for medical image computing and analysis: A review
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 …
conventional deep learning models are constructed for a single specific task, multi-task deep …
FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound
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 …
anatomical landmarks. Its primary objective is to provide comprehensive information about …
A deep-learning aided diagnostic system in assessing developmental dysplasia of the hip on pediatric pelvic radiographs
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 …
children. In clinical surgery, it is essential to quickly and accurately locate the exact position …
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 …
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) …
challenges:(1) high similarity between images of different disease classes; and (2) …
[HTML][HTML] Automated hip dysplasia detection using novel FlexiLBPHOG model with ultrasound images
This study focuses on automatically detecting developmental hip dysplasia (DHD) using a
novel feature engineering model, FlexiLBPHOG, inspired by the FlexiViT model. The model …
novel feature engineering model, FlexiLBPHOG, inspired by the FlexiViT model. The model …
Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images
Existing B-mode ultrasound (BUS) based computer-aided diagnosis (CAD) for
developmental dysplasia of the hip (DDH) is mainly developed based on the Graf's method …
developmental dysplasia of the hip (DDH) is mainly developed based on the Graf's method …
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 …
effectiveness for diagnosis of Developmental Dysplasia of the Hip (DDH) in infants, which …
[HTML][HTML] Diagnosis on Ultrasound Images for Developmental Dysplasia of the Hip with a Deep Learning-Based Model Focusing on Signal Heterogeneity in the Bone …
H Shimizu, K Enda, H Koyano, T Ogawa, D Takahashi… - Diagnostics, 2025 - mdpi.com
Background: Developmental dysplasia of the hip (DDH) is a prevalent issue in infants, with
ultrasound crucial for early detection. Existing automatic diagnostic models lack precision …
ultrasound crucial for early detection. Existing automatic diagnostic models lack precision …
Artificial Intelligence‐Assisted Ultrasound Diagnosis on Infant Developmental Dysplasia of the Hip Under Constrained Computational Resources
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 …
hip (DDH). However, the accuracy of the diagnosis depends heavily on expertise. We aimed …