- 标题
- 摘要
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- 实验方案
- 产品
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The learning about imaging diagnosis technology
摘要： Objective: To investigate the learning about management of the technology (efficient use, acquisition and maintenance of imaging diagnosis equipment) in the radiology residency program of Escola Paulista de Medicina – Universidade Federal de S?o Paulo, with a view to improving the education of radiologists. Materials and Methods: Exploratory research where residents, faculty staff and tutors of the program were quantitative and qualitatively approached with Likert scale questionnaires (46), and deepening with recorded interviews (18) and categorization based upon meaning units (thematic analysis). Results: Among the participants, 66% agreed that they had the opportunity of learning about the use of radiological equipment; for 61% the program should include knowledge on the importance of acquiring equipment; and 72% emphasized the lack of learning about equipment management and maintenance. Conclusion: As the major moment in the education of specialists, the medical residency program provides residents with a favorable environment to the learning of the skills required to the future of their professional practice, but with limited emphasis on the management of the technology: efficient use, acquisition and mainly maintenance of equipment, still poorly explored. Both the investigated program and the medical residency in radiology should incorporate, whenever possible, the commitment with the training in supplementary skills related to equipment management, developing the competence of the future radiologists.
关键词： Radiology,Radiologic technology,Health management,Imaging diagnosis,Medical education,Medical residency
更新于2025-09-09 09:28:46
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Automated retinal imaging and trend analysis – a tool for health monitoring
摘要： Most current diagnostic devices are expensive, require trained specialists to operate and gather static images with sparse data points. This leads to preventable diseases going undetected until late stage, resulting in greatly narrowed treatment options. This is especially true for retinal imaging. Future solutions are low cost, portable, self-administered by the patient, and capable of providing multiple data points, population analysis, and trending. This enables preventative interventions through mass accessibility, constant monitoring, and predictive modeling.
关键词： next-generation imaging technology,mass accessibility,early disease indicators,predictive health assessment,predictive analysis
更新于2025-09-09 09:28:46
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Mapping terrestrial oil spill impact using machine learning random forest and Landsat 8 OLI imagery: a case site within the Niger Delta region of Nigeria
摘要： Terrestrial oil pollution is one of the major causes of ecological damage within the Niger Delta region of Nigeria and has caused a considerable loss of mangroves and arable croplands since the discovery of crude oil in 1956. The exact extent of landcover loss due to oil pollution remains uncertain due to the variability in factors such as volume and size of the oil spills, the age of oil, and its effects on the different vegetation types. Here, the feasibility of identifying oil-impacted land in the Niger Delta region of Nigeria with a machine learning random forest classifier using Landsat 8 (OLI spectral bands) and Vegetation Health Indices is explored. Oil spill incident data for the years 2015 and 2016 were obtained from published records of the National Oil Spill Detection and Response Agency and Shell Petroleum Development Corporation. Various health indices and spectral wavelengths from visible, near-infrared, and shortwave infrared bands were fused and classified using the machine learning random forest classifier to distinguish between oil-free and oil spill–impacted landcover. This provided the basis for the identification of the best variables for discriminating oil polluted from unpolluted land. Results showed that better results for discriminating oil-free and oil polluted landcovers were obtained when individual landcover types were classified separately as opposed to when the full study area image including all landcover types was classified at once. Similarly, the results also showed that biomass density plays a significant role in the characterization and classification of oil contaminated and oil-free pixels as tree cover areas showed higher classification accuracy compared to cropland and grassland.
关键词： Spectral bands,Vegetation health indices,Variable importance,Random forest,Oil spill,Landcover
更新于2025-09-04 15:30:14
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Design and validation of a wide-field mobile phone microscope for the diagnosis of schistosomiasis
摘要： Schistosomiasis is a Neglected Tropical Disease that affects over 200 million people worldwide, with children, and the impoverished living in rural African communities disproportionately affected. Schistosomiasis is also a diagnosis occasionally seen in returned travellers, and in particular, adventure travellers. Chronic infection with S. mansoni and S. haematobium leads to significant gastrointestinal or genitourinary pathology, respectively. The diagnosis of S. haematobium and S. mansoni typically involves detecting parasite eggs in urine or faeces, respectively. Conventional light microscopy is the most common diagnostic technique, however laboratory infrastructure, qualified laboratory technicians, and permanent energy sources are limited in many schistosomiasis-endemic regions, making microscopy unavailable to most affected communities. Here we present images of S. haematobium and S. mansoni eggs captured by a novel, smartphone-based microscope designed with a wide field of view, during an epidemiologic survey in the Azaguié region of southern C?te d’Ivoire.
关键词： Global health,Point of care,Mobile phone,Microscope,Diagnosis,Schistosomiasis
更新于2025-09-04 15:30:14
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Non-contact fatigue crack detection in civil infrastructure through image overlapping and crack breathing sensing
摘要： Fatigue cracks are of critical structural safety concern in civil infrastructure. Many existing fatigue crack sensing methods are contact-based, hence extensive human operation is necessary for sensor and/or actuator deployment. In this study, we propose a vision-based non-contact approach to detect fatigue cracks through image overlapping. We treat crack breathing behavior, the small cyclic movement of the crack perpendicular to the crack path under repetitive fatigue loads, as a robust indicator for crack identification. The differential image features provoked by a breathing crack can be extracted, enhanced, and visualized through a series of image processing techniques. The performance of the proposed approach is experimentally validated through two laboratory setups including a small-scale steel compact specimen and a large-scale bridge to cross-frame connection specimen. Test results demonstrate the capability of the proposed approach in reliably identifying the fatigue crack, even the true crack is surrounded by other non-crack features.
关键词： Computer vision,Bridges,Civil infrastructure,Feature matching,Non-contact sensing,Image processing,Structural health monitoring,Image registration,Breathing crack,Fatigue crack detection
更新于2025-09-04 15:30:14
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An overview of corrosion defect characterization using active infrared thermography
摘要： Corrosion is considered a destructive phenomenon that affects almost all metals. There is a variety of corrosion monitoring and measurement techniques being deployed across industries. However, very few techniques are ideally characterised with non-contact, non-intrusive, on-line and direct features for measuring the accurate corrosion rate or actual metal loss. Infrared Thermography (IRT) allows the recording of electromagnetic waves emitted from objects by using an infrared imaging system, such as an infrared camera. IRT is an online method of Non-Destructive Testing (NDT) meaning the delays in receiving results from a laboratory experienced in many NDT techniques can be eliminated. It is non-intrusive which means no process disruption and downtime will be imposed to the production line. It is also a non-contact method which mitigates the hazard occurrence and need for highly experienced personnel.
关键词： Infrared thermography,Non-destructive testing,Corrosion monitoring,Structural health monitoring,Image processing
更新于2025-09-04 15:30:14
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Addressing Powers of Resilience by Photogr
摘要： We invited long stay patients in mental health care to share with us their journey into domains of their lives where they can experience a connection with ‘a valued life’ beyond illness and hospitalization. One of these journeys was literally travelling back to places where memories of the past can be remembered. How did we do this? The patient’s mentor nurse together with a photographer accompanied the patient on an excursion to particular places the patient said he/she would like to visit: A football game, his hometown of his childhood years, a beauty specialist, a concert. These excursions have become an exploration of patients’ roots, but also of dreams and ambitions: Who do you want to be as a person; how do you want others to see you and more basically how do you want to look like. These aspects that are closely related to resilience and which have a great potential to be utilized for therapeutic ends, can be visualized by making photographs at crucial moments during the trajectory. A professional photographer, known with the principles of empowerment photography, photographed the patients. His photographs and meaningful text expressed by the patients themselves form together photo stories that in the end were returned to the patients. Also a photo exhibition is organized. The photo stories enabled patients to be recognized and accepted in positive and valuable aspects of their identity and history. This reinforced their self-esteem and made them sensitive to their potential for change, growth and recovery.
关键词： Health care,Photo,Patients
更新于2025-09-04 15:30:14
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Effect of supplemental blue light intensity on the growth and quality of Chinese kale
摘要： The influence of blue light on the growth and quality of vegetables is controversial, since both positive and negative effects have been observed on different varieties of vegetables and most research has been conducted with a combination of light spectrums. In this work, we investigated the effects of supplemental blue light intensity on growth, nutritional quality, and health-promoting compounds of Chinese kale (Brassica alboglabra Bailey) using only blue (460 nm) light-emitting diodes 10 days before harvest in a greenhouse under ambient light conditions. Four blue-light treatments were conducted (0, 50, 100, and 150 μmol m?2 s?1, named T0, T50, T100, and T150, respectively) with 12 h (6:00–18:00) of light treatment per day. The growth of Chinese kale plants was improved by supplemental blue light. The fresh and dry weights of Chinese kale plants were significantly higher under T50 and T100 than those in the other treatments. The content of chlorophyll b and total chlorophyll increased significantly under T50, and the content of carotenoids increased significantly under T150. The contents of soluble sugars and free amino acids were significantly increased under the blue light treatments. The nitrate content decreased with increasing blue light intensity, while the anthocyanin content increased. The contents of vitamin C in T50 and total phenolic compounds in T150 were significantly higher than in T0. The flavonoid contents were significant higher in T50 and T150, and significantly lower in T100. Our results show that blue light can influence the growth and quality of Chinese kale and 50 μmol m?2 s?1 of supplemental blue light might be the most feasible light intensity for Chinese kale production.
关键词： Photosynthetic photon flux density,Biomass,Health-promoting compounds,Brassica alboglabra,Nutritional quality
更新于2025-09-04 15:30:14
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Enabling Saccade Latency Measurements with Consumer-Grade Cameras
摘要： Eye movements can be affected by a number of neurological, neuromuscular, and neurodegenerative disorders that are important to diagnose and track longitudinally. To enable unobtrusive tracking of disease progression, we tailored and evaluated a set of candidate eye-tracking algorithms to operate on video sequences obtained from an iPhone 6, for accurate and robust determination of the time between the presentation of a visual stimulus and the beginning of the eye movement toward the stimulus (saccade latency). Additionally, we proposed a model-based method to determine the onset of the eye movement and demonstrate that the associated residual normalized root-mean-squared error can be used to automatically flag saccade tracings that should not be included in further analysis. A variant of the iTracker algorithm performs most robustly and results in mean saccade latencies and associated standard deviations on iPhone recordings that are essentially the same as those obtained from simultaneous recordings using a high-end, high-speed camera. Our results suggest that accurate and robust saccade latency determination is feasible using consumer-grade cameras and therefore might enable unobtrusive tracking of neurodegenerative disease progression.
关键词： Eye tracking,saccade latency,mobile imaging,health monitoring,convolutional neural networks
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Applying an Object-Based SVM Classifier to Explore Canopy Closure of Mangrove Forest in the Mekong Delta Using Sentinel-2 Multispectral Images
摘要： This study explored the feasibility of mapping the canopy closures of mangrove forest in the Mekong Delta of Vietnam using Sentinel-2 multispectral composite image. Forest canopy closures were determined in accordance with the level of volume stocks. A method of object-based support vector machine classifier was first applied to derive LULC and then to differentiate the canopy closure over the mangrove forest. Results showed that object-based SVM classification was able to achieve an accuracy of kappa of around 0.73 which is around 0.2 higher than the kappa of a pixel-based SVM classification. However, there was a level of around 11%-24% commission rate and omission rate in the rich, medium, and poor classes of canopy closure. Further research to improve the performance of canopy closure classification is needed in order to obtain more accurate information for management planning.
关键词： forest health,Mangroves,multispectral remote sensing,canopy closure
更新于2025-09-04 15:30:14