[HTML][HTML] Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination …
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
[HTML][HTML] Hybrid Methods for Fundus Image Analysis for Diagnosis of Diabetic Retinopathy Development Stages Based on Fusion Features
Diabetic retinopathy (DR) is a complication of diabetes that damages the delicate blood
vessels of the retina and leads to blindness. Ophthalmologists rely on diagnosing the retina …
vessels of the retina and leads to blindness. Ophthalmologists rely on diagnosing the retina …
A Self Operational Convolutional Neural Networks with Convergent Cross-Mapping and Its Application in Parkinson's disease Classification
K Sekaran, A Harshvardhan, N Sandhya… - IEEE …, 2024 - ieeexplore.ieee.org
Parkinson's disease (PD) is a progressive neurodegenerative disease with multiple motor
and non-motor characteristics. PD patients commonly face vocal impairments during the …
and non-motor characteristics. PD patients commonly face vocal impairments during the …
Improved Prediction of Knee Osteoarthritis by the Machine Learning Model XGBoost
K Su, X Yuan, Y Huang, Q Yuan, M Yang, J Sun… - Indian Journal of …, 2023 - Springer
Objectives The accurate prediction of osteoarthritis (OA) severity in patients can be helpful to
make the proper decision of intervention. This study aims to build up a powerful model to …
make the proper decision of intervention. This study aims to build up a powerful model to …
Radiographic imaging-based joint degradation detection using deep learning
A Ghazwan, S Al-Qazzaz… - International Journal of …, 2023 - search.proquest.com
Osteoarthritis (OA) is a degenerative joint disease that primarily affects the knee joint.
Currently, OA diagnosis relies on the examination of plain radiographs, a method …
Currently, OA diagnosis relies on the examination of plain radiographs, a method …
Automated Deep Learning Based Knee Osteoarthritis Joint Extraction and Classification
MS Abbas, S Jamil, A Khurshid - 2023 17th International …, 2023 - ieeexplore.ieee.org
Knee osteoarthritis (KOA) is a widespread global condition, impacting over 300 million
individuals as per the World Health Organization (WHO). Particularly prevalent among older …
individuals as per the World Health Organization (WHO). Particularly prevalent among older …
[PDF][PDF] Classification of Knee X-Ray Images by Severity of Osteoarthritis Using Skip Connection Based ResNet101.
MS Yallappa, GR Bharamagoudar - International Journal of Intelligent …, 2023 - inass.org
Knee osteoarthritis (OA) is a prevalent condition that typically affects elderly individuals. It
occurs due to the gradual deterioration of hyaline cartilage located between knee joints. If it …
occurs due to the gradual deterioration of hyaline cartilage located between knee joints. If it …
Machine Learning based Detection and Severity Classification of Knee Osteoarthritis
ASC Bose, C Srinivasan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Knee Osteoarthritis (KOA) is a common musculoskeletal condition that has a significant
worldwide influence on patient well-being. Despite its importance, manually detecting KOA …
worldwide influence on patient well-being. Despite its importance, manually detecting KOA …