A review on segmentation of knee articular cartilage: from conventional methods towards deep learning
In this paper, we review the state-of-the-art approaches for knee articular cartilage
segmentation from conventional techniques to deep learning (DL) based techniques. Knee …
segmentation from conventional techniques to deep learning (DL) based techniques. Knee …
From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research
Knee osteoarthritis is a major diarthrodial joint disorder with profound global socioeconomic
impact. Diagnostic imaging using magnetic resonance image can produce morphometric …
impact. Diagnostic imaging using magnetic resonance image can produce morphometric …
Segmentation of joint and musculoskeletal tissue in the study of arthritis
As the most frequent cause of physical disability, musculoskeletal diseases such as arthritis
and osteoporosis have a great social and economical impact. Quantitative magnetic …
and osteoporosis have a great social and economical impact. Quantitative magnetic …
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Clinical studies including thousands of magnetic resonance imaging (MRI) scans offer
potential for pathogenesis research in osteoarthritis. However, comprehensive quantification …
potential for pathogenesis research in osteoarthritis. However, comprehensive quantification …
Automatic knee cartilage segmentation from multi-contrast MR images using support vector machine classification with spatial dependencies
Accurate segmentation of knee cartilage is required to obtain quantitative cartilage
measurements, which is crucial for the assessment of knee pathology caused by …
measurements, which is crucial for the assessment of knee pathology caused by …
Fully automated segmentation of cartilage from the MR images of knee using a multi‐atlas and local structural analysis method
Purpose: To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …
resonance (MR) images of knee and to evaluate the performance of the method on a public …
Learning-based cost functions for 3-D and 4-D multi-surface multi-object segmentation of knee MRI: data from the osteoarthritis initiative
S Kashyap, H Zhang, K Rao… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
A fully automated knee magnetic resonance imaging (MRI) segmentation method to study
osteoarthritis (OA) was developed using a novel hierarchical set of random forests (RF) …
osteoarthritis (OA) was developed using a novel hierarchical set of random forests (RF) …
Transformer-based multilevel region and edge aggregation network for magnetic resonance image segmentation
S Chen, L Zhong, C Qiu, Z Zhang, X Zhang - Computers in Biology and …, 2023 - Elsevier
To improve the quality of magnetic resonance (MR) image edge segmentation, some
researchers applied additional edge labels to train the network to extract edge information …
researchers applied additional edge labels to train the network to extract edge information …
Automatic hip cartilage segmentation from 3D MR images using arc-weighted graph searching
Accurate segmentation of hip joint cartilage from magnetic resonance (MR) images offers
opportunities for quantitative investigations of pathoanatomical conditions such as …
opportunities for quantitative investigations of pathoanatomical conditions such as …
Personalized knee geometry modeling based on multi-atlas segmentation and mesh refinement
The development of personalized finite element models of the knee anatomy is critically
important in the simulation of knee joint mechanics, prediction of optimal treatments in cases …
important in the simulation of knee joint mechanics, prediction of optimal treatments in cases …