A5059482631- Cell Image Analysis Techniques
- Image Enhancement Techniques
- Smart Agriculture and AI
- Dental Radiography and Imaging
- Advanced Neural Network Applications
- Dental Implant Techniques and Outcomes
- Oil Spill Detection and Mitigation
- Medical Imaging and Analysis
- Brain Tumor Detection and Classification
Universidad Complutense de Madrid
2023
Software (Spain)
2023
Cyanobacterial Harmful Algal Blooms (CyanoHABs) in lakes and reservoirs have increased substantially recent decades due to different environmental factors. Its early detection is a crucial issue minimize health effects, particularly potential drinking recreational water bodies. The use of Autonomous Surface Vehicles (ASVs) equipped with machine vision systems (cameras) onboard, represents useful alternative at this time. In regard, we propose an image Semantic Segmentation approach based on...
Abstract Peri-implantitis can cause marginal bone remodeling around implants. The aim is to develop an automatic image processing approach based on two artificial intelligence ( AI ) techniques in intraoral (periapical and bitewing) radiographs assist dentists determining loss. first a deep learning DL object-detector (YOLOv3) roughly identify (no exact localization required) objects: prosthesis (crown) implant (screw). second understanding-based IU process fine-tune lines screw edges...
The remarkable performance of Convolutional Neural Networks (CNNs) has increased their use in real-time systems and devices with limited resources. Hence, compacting these networks while preserving accuracy become necessary, leading to multiple compression methods. However, the majority require intensive iterative procedures do not delve into influence used data. To overcome issues, this paper presents several contributions, framed context explainable Artificial Intelligence (xAI): (a) two...