A5045387183- Cutaneous Melanoma Detection and Management
- AI in cancer detection
- Robotics and Sensor-Based Localization
- Underwater Vehicles and Communication Systems
- Geological Modeling and Analysis
- Advanced Fluorescence Microscopy Techniques
- Digital Imaging in Medicine
- Energy Harvesting in Wireless Networks
- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
- Advanced Neural Network Applications
- Infrared Thermography in Medicine
- Robotic Path Planning Algorithms
- Data Visualization and Analytics
- Water Quality Monitoring Technologies
- Marine and coastal plant biology
- Optimization and Search Problems
- Soft Robotics and Applications
- Fish Ecology and Management Studies
- Skin Protection and Aging
- Coral and Marine Ecosystems Studies
- Image Processing Techniques and Applications
- Teaching and Learning Programming
- 3D Surveying and Cultural Heritage
- Research Data Management Practices
University of Girona
2011-2023
Abstract One of the leading causes overfishing is catch unwanted fish and marine life in commercial fishing gears. Echosounders are nowadays routinely used to detect schools make qualitative estimates amount species present. However, problem estimating sizes using acoustic systems still largely unsolved, with only a few attempts at real-time operation demonstration level. This paper proposes novel image-based method for individual detection, targeted drastically reducing catches undersized...
The detection of newly appearing and changing pigmented skin lesions (PSLs) is essential for timely diagnosis cutaneous melanoma. Total body examination (TBSE) procedures, currently practiced this purpose, can be extremely time-consuming patients with numerous lesions. In addition, these procedures are prone to subjectivity when selecting PSLs baseline image comparison, increasing the risk missing a developing cancer. To address issue, we propose new photogrammetry-based total scanning...
The article discusses the main methodologies and key technologies behind ROBUST project, funded by European Union within Horizon 2020 framework, whose goal is development of an autonomous underwater vehicle manipulator system for deep sea mining exploration. This focuses on developed control perception framework related mechatronics, presents experimental results from trials in Sardinia, Italy, supporting proposed methodologies.
Total body photography is used for early detection of malignant melanoma, primarily as a means temporal skin surface monitoring. In prior work, we presented scanner with set algorithms to map and detect changes in pigmented lesions, thus demonstrating that it possible fully automate the process total image acquisition processing. The key procedure these lesion matching determines whether two images depict same real lesion. this paper, aim improve respect false positive negative outcomes. To...
This paper tackles the problem of generating world-scale multi-resolution triangulated irregular networks optimized for web-based visualization. Starting with a large-scale high-resolution regularly gridded terrain, we create pyramid representing distinct levels detail, where each level detail is composed small tiles fixed size. The main contribution this to redefine three different state-of-the-art 3D simplification methods efficiently work at tile level, thus rendering process highly...
Introduction Artificial Intelligence (AI) has proven effective in classifying skin cancers using dermoscopy images. In experimental settings, algorithms have outperformed expert dermatologists melanoma and keratinocyte cancers. However, clinical application is limited when are presented with ‘untrained’ or out-of-distribution lesion categories, often misclassifying benign lesions as malignant, malignant benign. Another limitation raised the lack of context (e.g., medical history) used input...
The early detection and accurate monitoring of suspicious skin lesions are critical for effective dermatological diagnosis treatment, particularly reliable identification the progression nevi to melanoma. traditional diagnostic framework, ABCDE rule, provides a foundation evaluating lesion characteristics by visual examination using dermoscopes. Simulations could improve understanding melanoma growth patterns.
This paper presents the control and perception framework used in ROBUST EU Horizon 2020 project, aimed at integrate different technologies for developing an underwater autonomous robotic system exploring deep-sea mining sites. The vehicle firstly collects data of initial zone interest it selects a sub area which is most probable to contain manganese nodule field; then carries out low altitude survey. When possible detected by cameras, lands on seafloor, allowing following fixed based...
Monitoring provides important information for the planning and execution of marine environment preservation operations. Posidonia oceanica is one principal bioindicators in Mediterranean coastal areas regular monitoring activities play a crucial role its conservation. However, an efficient observation vast colonised with P. extremely challenging it currently requires tedious time consuming diving activities. Autonomous Underwater Vehicles (AUVs) endowed optical sensors could represent viable...
Modern technology like cell phones, wind power plants or electric cars require resources such as certain metals rare earth elements with limited deposits on land, expensive difficult to obtain. Consequently, in the oceans polymetallic nodules, massive sulfides and cobalt crusts are becoming more interesting for mining companies. Since deep sea needs careful consideration mapping of concerned locations, might ecological compensation areas, is a huge endeavor enormous costs, logistics...
This work reports the experience gathered along 6 years in developing a team-based project activity to promote engineering programs among secondary school students. The aim of is increase interest students for science and technology general, but also skills, capabilities values, leading attract more enrolment programs. Simple theoretical concepts related physics are illustrated through hands-on experimentation. To achieve this goal, build remotely operated underwater robot workshop. built...
Abstract NEANIAS is a research and innovation action project funded by the European Union under Horizon 2020 program. The addresses challenge of prototyping novel solutions for underwater, atmospheric space communities, creating collaborative ecosystem, contributing to effective materialization Open Science Cloud (EOSC). drives co-design, implementation, delivery, integration into EOSC innovative thematic core services, derived from state-of-the-art assets practices in target scientific...