Abstract
Advances in information storage and image acquisition technologies have enabled the creation of enormous image datasets. during this situation, it's necessary to develop applicable data systems to with efficiency manage these collections. the most typical approaches use the supposed Content-Based Image Retrieval (CBIR) systems. Basically, these systems attempt to retrieve pictures like a user-defined specification or pattern (e.g., form sketch, image example). Their goal is to support image retrieval supported content properties (e.g., shape, color, texture), typically encoded into feature vectors. one among the most benefits of the CBIR approach is that the chance of AN automatic retrieval method, rather than the standard keyword-based approach, thattypically needs terribly toilsome and long previous annotation of info pictures. The CBIR technology has been utilized in many applications like fingerprint identification, variety data systems, digital libraries, crime bar, medicine, historical analysis, among others.
Keywords
- Spinal Muscular Atrophy Disease-Modifying Treatments
- Motor Neuron Molecule Availability
- Proprioceptive Feedback in Muscle Function
- Childhood Muscle Unit Fitness
- Advances in Neuroscience for Rare Diseases
- Quality of Life Improvements in SMA
- Familial Care Strategies for SMA
- Rehabilitation Optimization in SMA
- Chronic Complication Prevention
- Multidisciplinary SMA Management
- Hospital-Coordinated SMA Care
- Motor Rehabilitation Tools for SMA
- Orthopedic Management in SMA
- Cardiopulmonary Management in SMA
- Real-Life Effects of SMA Treatments
- Interdependence of Motor Function and Quality of Life
- SMA Multidisciplinary Teams
- Integrated Patient Care Approaches
- SMA Patient and Family Support
- Practical SMA Management Strategies.