A5093676397- COVID-19 diagnosis using AI
- Digital Imaging for Blood Diseases
- Smart Systems and Machine Learning
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Advanced Image and Video Retrieval Techniques
- Machine Learning and Data Classification
Universidad de Xalapa
2024-2025
Universidad Veracruzana
2024-2025
Convolutional neural networks (CNNs) have shown a competitive performance in medical imaging applications, such as image segmentation. However, choosing an existing architecture capable of adapting to specific dataset is challenging and requires design expertise. Neural search (NAS) employed overcome these limitations. NAS uses techniques the Networks architecture. Typically, models' weights optimization carried out using continuous loss function, unlike model topology optimization, which...
Within the medical field, computer vision has an important role in different tasks, such as health anomaly detection, diagnosis, treatment, and monitoring conditions. Image segmentation is one of most used techniques for support to identify regions interest organs. However, performing accurate difficult due image variations. In this way, work proposes automated multiple-feature construction approach segmentation, working with magnetic resonance images, computed tomography, RGB digital...