Articles tagged with Image Analysis
Researchers at Tel Aviv University have developed a cutting-edge solution for radiologists using Deep Learning technologies. The lab has created tools to facilitate computer-assisted diagnosis of X-rays, CTs and MRIs, freeing up time for complex cases.
Researchers at Umeà University have developed a smartphone-based method for diagnosing ear infections, achieving an accuracy of 80.6% compared to traditional methods. The cloud-based system enables rapid and reliable diagnoses, potentially improving healthcare outcomes in developing countries.
A recent study by Southwest Research Institute reveals that rapid melting of ice and permafrost in the Arctic is reshaping the tundra landscape. This degradation has led to widespread draining and differential subsidence, having long-term effects on plant life and wildlife across the region.
Researchers developed an algorithm that sorts and edits video footage into picturesque highlights for a vacation reel. The approach analyzes images with ideal artistic properties, considering factors like geolocation, composition, symmetry, and color vibrancy.
Brown University engineers developed a new technique to understand how cells move through complex tissues, building on mean deformation theory. The algorithm analyzed images of human neutrophils moving through collagen matrices, revealing differences in contractility and rotation between healthy and sepsis models.
Researchers from Case Western Reserve University have developed a new image analytics test that can reliably distinguish between patients who need only hormonal treatment and those who also need chemotherapy. The test uses MRI data to identify molecular changes in tissues, which can be analyzed quickly and cost-effectively.
The study found men's views and voices are represented more in online news than women's, while women appear proportionally more in images. Women feature more in fashion and entertainment articles, but are least present in sports and politics topics. The research highlights the marginalization of women's voices in the media.
Researchers have developed a new analysis method to distinguish between stroke patients with language problems, enabling more individualized treatment. The method uses functional magnetic resonance imaging (fMRI) and combines information about brain lesions and activity patterns.
Researchers used electrodes implanted in the temporal lobes of awake patients to decode brain signals and predict what object patients were seeing with over 95% accuracy. The study's findings have significant implications for understanding human perception and could lead to new treatments for paralysis and stroke patients.
Researchers used social media data from Twitter and Flickr to identify hotspots in need of aid during the 2013 Colorado floods. The team's innovative approach combined remote sensing imagery with machine-learning algorithms to quickly analyze images and pinpoint areas affected by flooding.
A new tool may help predict patients' motor function recovery after stroke by analyzing changes in brain network configuration. Graph theoretical analysis revealed that a lower characteristic path length indicates better recovery, suggesting improved rehabilitation planning and therapy development.
Researchers have successfully used digital imaging to measure pyrethrum flowers before harvesting, detecting 88% of flowers compared to manual recognition. This automated system allows for faster and easier image collection, enabling greater plot areas to be sampled for yield estimation.
A new study reveals that giant icebergs in the Southern Ocean contribute significantly to carbon sequestration, with enhanced phytoplankton productivity extending hundreds of kilometers beyond the iceberg's length. This process helps slow global warming by storing atmospheric carbon dioxide.
Scientists have developed a new method for classifying cells based on large population of cell images, allowing for high specificity and accuracy. The approach uses machine learning to analyze bright and darkfield images, opening up new perspectives for cell cycle analysis and potential applications in various contexts.
Researchers at Carnegie Mellon University have developed a high-throughput, machine-learning tool to analyze synaptic density in the brain. This allows them to identify synapses from an entire cortical region and gain insights into how synaptic properties change during development and learning.
Researchers create a new method for generating training images to simulate natural variability, allowing for more accurate predictions and decision-making in various activities such as environmental cleanup and oil drilling. By analyzing a series of images using the demon algorithm, scientists select representative snapshots that captu...
A team from Disney Research and ETH Zurich has developed a system that can transform existing stereoscopic content into multiview content in real-time, enabling the use of glasses-less 3-D displays. The system uses image domain warping to synthesize eight new views in high definition.
Entomologists from the University of California, Riverside, discovered a new genus of plant bug, Restiophylus, and four new species from Australia. The new species are closely associated with Australian restiid clade (Poales). Detailed information on the insects is provided in the Annals of the Entomological Society of America.
Researchers trained pigeons to distinguish between benign and malignant breast histology and radiology images, showing their ability to generalize what they learned. The study suggests that pigeons could aid in understanding human medical image perception and performance assessment.
A multidisciplinary team of researchers developed a computational approach to assess the aesthetic appeal of coral reefs, finding that objective visual cues are correlated with the health and beauty of reef ecosystems. The study provides a cost-effective tool for monitoring coral reef communities and targets their natural beauty.
The New Horizons mission has revealed a wide range of colors across Pluto's surface, with dark red regions at the equator and brighter, bluer regions at higher latitudes. The team also discovered significant regional differences in volatile ices on Pluto's surface, including water ice in previously undetected regions.
Tropical Depression Nora was affected by strong southwesterly vertical wind shear, pushing clouds and showers northeast of the center. The Suomi NPP satellite revealed most thunderstorms were being pushed away from the center due to the high wind shear.
A study of edge-on spiral galaxies has revealed that halos of cosmic rays and magnetic fields are much more common than previously thought. Researchers used the VLA to detect faint radio emission, providing valuable information on star formation, winds from exploding stars, and galaxy magnetic fields.
Celeste is a hierarchical model designed to catalog stars, galaxies and light sources in the universe, enabling astronomers to identify promising galaxies for spectrograph targeting and better understand Dark Energy. The model aims to improve data analysis methods, significantly reducing the time and effort spent working with image data.
Researchers from Drexel University used image-tracking technology to study the development of neural stem cells in mice, finding intrinsic differences between anterior and posterior stem cells that could explain how areas of the cortex develop into specialized structures. The discovery was made possible by powerful biological tracking ...
Recent Philae landings have provided new data on comet 67P/Churyumov-Gerasimenko, including its surface composition, mechanical properties, and the presence of organic compounds. The findings suggest a highly porous and dust-ice-rich surface with a compressive strength that could improve future comet missions.
Researchers adapted rock imaging methods to study fungi on paper, revealing that fungi grow similarly to mushrooms and can be embedded within paper fibers. This new insight enables conservators to develop effective conservation strategies for paper artefacts.
Researchers at the University of Edinburgh found that the primary visual cortex controls fast responses to animal images, contradicting previous theories. The brain categorizes scenes based on small areas of shape and texture before using complex processing to identify objects.
A recent study analyzed over 300 'thinspiration' images on Twitter and Pinterest, revealing that they often feature cropped body parts and promote extreme thinness. The research highlights the potential harm of such content on viewers, particularly young women who may feel pressure to achieve an unattainable ideal.
A smartphone-based device developed by Massachusetts General Hospital researchers uses hologram technology to collect detailed microscopic images for digital analysis of cancer cells and tissues. The D3 system can detect cancer proteins with high accuracy, categorizing biopsy samples as high-risk or low-risk in under an hour.
Researchers at Tel Aviv University have developed a smartphone-based device that uses hyperspectral imaging to identify the chemical composition of objects. The technology has potential applications in fields such as agriculture, biotechnology, and homeland security.
A team from Princeton University has discovered a second natural quasicrystal in an ancient meteorite, bringing to two the number of natural quasicrystals ever discovered. The newly found quasicrystal has a decagonal symmetry and is made up of aluminum, nickel, and iron.
Researchers discovered a new pathway in the brain's striatum where several areas communicate to make spatial decisions, such as estimating where to swing a bat or finding a car. This knowledge may lead to improved treatments for Parkinson's disease by strengthening damaged pathways.
Schistosomiasis, caused by a water-born parasite, affects 200 million globally. A new software, QDREC, helps find an effective treatment by automating the drug-discovery process.
A study found that Google glasses created partial peripheral vision obstruction in participants, inducing scotomas and impairing daily functions. The authors suggest additional research is needed to understand the effects of these devices on visual function.
The Sahel region is experiencing a shrinking margin between supply and demand for primary production, driven by population growth and increasing consumption. The study found that the rate of increase in food needs was 2.2% per year, while crop production remained largely unchanged over the past decade.
Researchers developed an automated imaging technique to measure and analyze the root systems of mature plants in field conditions. The system uses digital photography to provide detailed images of roots from thousands of plants, enabling scientists to evaluate crop improvement efforts.
Scientists used CT scans and micro-CT imaging to analyze the King's skeletal remains, revealing three injuries that could have caused death quickly. The most likely causes of his death are two skull injuries from a sword or staff weapon, and a penetrating injury from an edged weapon.
A new library of tools called Thunder enables neuroscientists to quickly analyze large amounts of brain activity data, generating unprecedented insights into how the brain works.
The Digital Latin Library will provide access to Latin texts and resources for reading and analysis, while the Library of Digital Latin Texts will support new scholarship and educational materials. The project aims to enhance scholarly endeavors on an international scale and complement other digital initiatives.
Forest cover in Borneo declined by up to 30% between 1973 and 2010, with logging and fire contributing to the loss. The study analyzed LANDSAT satellite images to understand long-term forest change patterns, aiming to aid conservation planning.
Virtual Finger technology allows scientists to access & analyze 3D image data more efficiently, speeding up data collection and analysis by 10-100 times. This breakthrough tech has far-reaching implications for various biological experiments and methods of data analysis.
The Journal of Medical Imaging has launched with freely accessible articles on new research in cancer diagnosis, image quality assessment, and other topics. The journal covers fundamental and translational research in medical imaging, spanning physics, tomographic reconstruction algorithms, computer-aided diagnosis, and more.
Astronomers have discovered the coldest known brown dwarf star, located just 7.2 light-years from our solar system. The object, named WISE J085510.83-071442.5, has a temperature between -54 and 9 degrees Fahrenheit, making it even colder than previous record holders.
A new high-throughput imaging method called CUBIC enables rapid whole-brain imaging at single-cell resolution, overcoming previous limitations. This allows for unprecedented insights into gene expression patterns and neural networks in the brain.
Researchers create mathematical modeling tool to analyze image data and understand cell clustering mechanisms. This breakthrough could aid in growing human tissues like liver in laboratory settings.
Researchers have applied innovative approaches to art analysis, including infrared imaging, thermography, and spectroscopy, to uncover the origins of paintings and detect forgeries. These non-destructive techniques have proven valuable in conserving priceless works of art.
Scientists at DESY's PETRA III research light source used nanodiffraction to study living cancer cells, showing clear differences in their internal structures compared to chemically fixed cells. The technique enabled the investigation of living cells in their natural environment using hard X-rays.
Researchers have mapped the exploration area and analyzed geological characteristics, producing a 1°×1° geologic map near the landing site. They identified two basaltic units with distinct formation mechanisms, shedding light on the lunar surface's composition.
The CSIRO Australia-led research reveals the oldest minerals ever analyzed by NASA's Mars Opportunity Rover show evidence of liquid water on Mars around 4 billion years ago. The discovery suggests that past water activity may have created livable mud, increasing the chances of life on Mars.
Researchers developed a scoring system to assess nerve root morphology and functional alteration. Diffusion tensor magnetic resonance imaging-based tractography can quantify nerve root function according to fiber bundle area and morphology.
A new study suggests that people's mental representation of Republican candidate Mitt Romney's face differs based on their political persuasion. Researchers found that when presented with subtle changes to Romney's face, participants who supported him rated the images as more trustworthy and competent.
Researchers analyzed five million images associated with 48 brands to identify visual concepts and keywords. The study complements online text data analysis and suggests new directions for computer vision in electronic commerce.
A Penn Medicine brain imaging study found greater neural connectivity from front to back and within one hemisphere in males, while females displayed greater connectivity between the left and right hemispheres. This difference may explain why men excel at single-tasking and women are better at multitasking and social cognition.
A new study suggests that graphic warning labels on cigarette packs could lead to a significant decrease in smoking rates in the US, with potential reductions of up to 8.6 million smokers. The study found that the FDA's model under-estimated the actual impact of graphic warnings, leading to a sharper decrease in smoking rates in Canada.
The Never Ending Image Learner (NEIL) program analyzes 3 million images, identifying 1,500 object types and 2,500 associations, and develops a growing visual database to enhance computer vision capabilities. NEIL's findings are made available online, providing insights into common sense knowledge that humans take for granted.
A new image analysis and segmentation algorithm helps quantify grain sizes in Martian rock and soil images, revealing subtle trends with composition. The semi-automated algorithm provides better consistency across multiple images than human segmentation.
Researchers are developing computer-aided diagnosis methods for mammograms, ultrasounds, and MRIs to identify specific tumor characteristics. This technique may also help identify genes that influence the risk of disease.
Researchers at Dartmouth College have developed a new software method to detect faked photos by analyzing inconsistent shadows, debunking claims that the Apollo 11 lunar landing photo is fake. The new forensic technique provides a more objective task for analysts, shifting the focus from visual plausibility to geometric constraints.
A new study found that patient and visit factors, such as prior visits, referral sources and clinical reasons, are the primary predictors of imaging use in emergency departments. Physician-related factors had a minimal impact on imaging utilization.