An adaptive early stopping technique for DenseNet169-based knee osteoarthritis detection model
Knee osteoarthritis (OA) detection is an important area of research in health informatics that
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …
A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
Osteoarthritis (OA) is a musculoskeletal disorder that affects weight-bearing joints like the
hip, knee, spine, feet, and fingers. It is a chronic disorder that causes joint stiffness and leads …
hip, knee, spine, feet, and fingers. It is a chronic disorder that causes joint stiffness and leads …
[HTML][HTML] How Can Artificial Intelligence Identify Knee Osteoarthritis from Radiographic Images with Satisfactory Accuracy?: A Literature Review for 2018–2024
Knee osteoarthritis is a chronic, progressive disease that rapidly progresses to severe
stages. Reliable and accurate diagnosis, combined with the implementation of preventive …
stages. Reliable and accurate diagnosis, combined with the implementation of preventive …
An in-depth study to fine-tune the hyperparameters of pre-trained transfer learning models with state-of-the-art optimization methods: Osteoarthritis severity …
Discrete & continuous optimization constitutes a challenging task and generally rises as an
NP-hard problem. In the literature, as a derivative of this type of optimization issue …
NP-hard problem. In the literature, as a derivative of this type of optimization issue …
[HTML][HTML] Evaluating the efficacy of deep learning models for knee osteoarthritis prediction based on Kellgren-Lawrence grading system
Osteoarthritis of the knee, also known as OA has been determined that osteoarthritis of the
knee is the leading cause of activity limitations and the development of disability, particularly …
knee is the leading cause of activity limitations and the development of disability, particularly …
Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images
Degenerative musculoskeletal disease known as Osteoarthritis (OA) causes serious pain
and abnormalities for humans and on detecting at an early stage, timely treatment shall be …
and abnormalities for humans and on detecting at an early stage, timely treatment shall be …
[HTML][HTML] Intelligent vineyard blade density measurement method incorporating a lightweight vision transformer
S Ke, G Dai, H Pan, B Jin - Egyptian Informatics Journal, 2024 - Elsevier
Under the new demand model of Agriculture 4.0, automated spraying is a very complex task
in precision agriculture, which needs to be combined with a computerized vision perception …
in precision agriculture, which needs to be combined with a computerized vision perception …
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading
Objectives Recently, deep learning medical image analysis in orthopedics has become
highly active. However, progress has been restricted by the absence of large-scale and …
highly active. However, progress has been restricted by the absence of large-scale and …
Optimized feature selection for enhanced accuracy in knee osteoarthritis detection and severity classification with machine learning
ASC Bose, C Srinivasan, SI Joy - Biomedical Signal Processing and Control, 2024 - Elsevier
Knee Osteoarthritis (KOA) is a widespread and debilitating orthopaedic condition that
necessitates accurate diagnostic tools. Machine Learning (ML) models has been utilized for …
necessitates accurate diagnostic tools. Machine Learning (ML) models has been utilized for …
KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model
Knee osteoarthritis (KOA) is a prevalent condition characterized by gradual progression,
resulting in observable bone alterations in X-ray images. X-rays are the preferred diagnostic …
resulting in observable bone alterations in X-ray images. X-rays are the preferred diagnostic …