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Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection.
Sensors (Basel)
January 2025
Centre of Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.
To automate the quality control of painted surfaces of heating devices, an automatic defect detection and classification system was developed by combining deflectometry and bright light-based illumination on the image acquisition, deep learning models for the classification of non-defective (OK) and defective (NOK) surfaces that fused dual-modal information at the decision level, and an online network for information dispatching and visualization. Three decision-making algorithms were tested for implementation: a new model built and trained from scratch and transfer learning of pre-trained networks (ResNet-50 and Inception V3). The results revealed that the two illumination modes employed widened the type of defects that could be identified with this system, while maintaining its lower computational complexity by performing multi-modal fusion at the decision level.
View Article and Find Full Text PDFAn Evaluation of Rare Cancer Policies in Europe: A Survey Among Healthcare Providers.
Cancers (Basel)
January 2025
Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Rare cancers, defined as those with an annual incidence of fewer than six cases per 100,000 individuals, are associated with significant health inequalities. This study aimed to assess the knowledge, attitudes, and perceptions of healthcare providers with expertise in rare cancers regarding the effectiveness of enacted or planned rare cancer policies across Europe. Between 25 March 2023 and 5 March 2024, we conducted an online survey targeting 738 healthcare providers affiliated with the European Reference Networks and the Organization of European Cancer Institutes, yielding 92 complete responses from 28 European countries (response rate: 12.
View Article and Find Full Text PDFExploring Literacy and Knowledge Gaps and Disparities in Genetics and Oncogenomics Among Cancer Patients and the General Population: A Scoping Review.
Healthcare (Basel)
January 2025
Centre for Research and Technology Hellas, Institute of Applied Biosciences, 57001 Thessaloniki, Greece.
Background: Genetic and genomic literacy is pivotal in empowering cancer patients and citizens to navigate the complexities of omics sciences, resolve misconceptions surrounding clinical research and genetic/genomic testing, and make informed decisions about their health. In a fast-evolving scenario where routine testing has become widespread in healthcare, this scoping review sought to pinpoint existing gaps in literacy and understanding among cancer patients and the general public regarding genetics and genomics.
Methods: Adhering to the PRISMA framework, the review included 43 studies published between January 2018 and June 2024, which evaluated the understanding of genetics and genomics among cancer patients, caregivers, and citizens.
Parental perception of treatment options for mucopolysaccharidosis: a survey to bridge the gap for personalized medicine.
Orphanet J Rare Dis
January 2025
Institute for Inherited Metabolic Disorders, Paracelsus Medical University Salzburg, 5020, Salzburg, Austria.
Background: Mucopolysaccharidosis (MPS) are a group of lysosomal storage diseases with substantial unmet medical needs-for both patients and caregivers. Approved therapies are limited, and the perception of investigative ones remains enigmatic.
Method: Using an innovative survey concept based on the discrete choice experiment method (DEC) with neuronopathic and non-neuronopathic patient scenarios, we aimed to evaluate how parents of children with MPS perceive different approved and innovative therapies.
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