DeepAI AI Chat
Log In Sign Up

Deep Learning for Musculoskeletal Image Analysis

03/01/2020
by   Ismail Irmakci, et al.
Ege University
University of Central Florida
University of Pennsylvania
0

The diagnosis, prognosis, and treatment of patients with musculoskeletal (MSK) disorders require radiology imaging (using computed tomography, magnetic resonance imaging(MRI), and ultrasound) and their precise analysis by expert radiologists. Radiology scans can also help assessment of metabolic health, aging, and diabetes. This study presents how machinelearning, specifically deep learning methods, can be used for rapidand accurate image analysis of MRI scans, an unmet clinicalneed in MSK radiology. As a challenging example, we focus on automatic analysis of knee images from MRI scans and study machine learning classification of various abnormalities including meniscus and anterior cruciate ligament tears. Using widely used convolutional neural network (CNN) based architectures, we comparatively evaluated the knee abnormality classification performances of different neural network architectures under limited imaging data regime and compared single and multi-view imaging when classifying the abnormalities. Promising results indicated the potential use of multi-view deep learning based classification of MSK abnormalities in routine clinical assessment.

READ FULL TEXT
09/11/2019

Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks

Achilles tendon rupture is a debilitating injury, which is typically tre...
09/04/2015

A statistical shape space model of the palate surface trained on 3D MRI scans of the vocal tract

We describe a minimally-supervised method for computing a statistical sh...
08/18/2021

Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability

This work employs a pre-trained, multi-view Convolutional Neural Network...
02/26/2021

Active Selection of Classification Features

Some data analysis applications comprise datasets, where explanatory var...
03/02/2020

Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data

Diagnosing Autism Spectrum Disorder (ASD) is a challenging problem, and ...
11/22/2022

Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks

Accurate quantification of cerebral blood flow (CBF) is essential for th...