[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …
can be captured by imaging modalities and translated into imaging features. Observing …
[HTML][HTML] A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI?
AM Groen, R Kraan, SF Amirkhan, JG Daams… - European Journal of …, 2022 - Elsevier
Objectives This study aims to contribute to an understanding of the explainability of
computer aided diagnosis studies in radiology that use end-to-end deep learning by …
computer aided diagnosis studies in radiology that use end-to-end deep learning by …
Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging
Y Zhang, D Hong, D McClement, O Oladosu… - Journal of Neuroscience …, 2021 - Elsevier
Background Deep learning using convolutional neural networks (CNNs) has shown great
promise in advancing neuroscience research. However, the ability to interpret the CNNs …
promise in advancing neuroscience research. However, the ability to interpret the CNNs …
[HTML][HTML] Identifying severity grading of knee osteoarthritis from x-ray images using an efficient mixture of deep learning and machine learning models
SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists
A fully-automated deep learning algorithm matched performance of radiologists in
assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence …
assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence …
Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network
Identifying the design of a failed implant is a key step in the preoperative planning of revision
total joint arthroplasty. Manual identification of the implant design from radiographic images …
total joint arthroplasty. Manual identification of the implant design from radiographic images …
[HTML][HTML] A deep learning method for predicting knee osteoarthritis radiographic progression from MRI
Background The identification of patients with knee osteoarthritis (OA) likely to progress
rapidly in terms of structure is critical to facilitate the development of disease-modifying …
rapidly in terms of structure is critical to facilitate the development of disease-modifying …
[HTML][HTML] Vectorized dataset of roadside noise barriers in China using street view imagery
Roadside noise barriers (RNBs) are important urban infrastructures to ensure that cities
remain liveable. However, the absence of accurate and large-scale geospatial data on …
remain liveable. However, the absence of accurate and large-scale geospatial data on …
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 …
[HTML][HTML] Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images
One of the most common and challenging medical conditions to deal with in old-aged
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …