Motels -- Australia -- Pictorial works.

Feminism and art.

[London] : [publisher not identified], [2019]

Salem M. Al-Gezeri, Robert G. Aykroyd.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 3, 498--519.

Abstract:
The use of Markov random field (MRF) models has proven to be a fruitful approach in a wide range of image processing applications. It allows local texture information to be incorporated in a systematic and unified way and allows statistical inference theory to be applied giving rise to novel output summaries and enhanced image interpretation. A great advantage of such low-level approaches is that they lead to flexible models, which can be applied to a wide range of imaging problems without the need for significant modification. This paper proposes and explores the use of conditional MRF models for situations where multiple images are to be processed simultaneously, or where only a single image is to be reconstructed and a sequential approach is taken. Although the coupling of image intensity values is a special case of our approach, the main extension over previous proposals is to allow the direct coupling of other properties, such as smoothness or texture. This is achieved using a local modulating function which adjusts the influence of global smoothing without the need for a fully inhomogeneous prior model. Several modulating functions are considered and a detailed simulation study, motivated by remote sensing applications in archaeological geophysics, of conditional reconstruction is presented. The results demonstrate that a substantial improvement in the quality of the image reconstruction, in terms of errors and residuals, can be achieved using this approach, especially at locations with rapid changes in the underlying intensity.

Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for a wide range of computer vision applications. In this work, we extend existing methodologies to show how 2D thermal facial data can be mapped to provide 3D facial models. For the proposed research work we have used tufts datasets for generating 3D varying face poses by using a single frontal face pose. The system works by refining the existing image quality by performing fusion based image preprocessing operations. The refined outputs have better contrast adjustments, decreased noise level and higher exposedness of the dark regions. It makes the facial landmarks and temperature patterns on the human face more discernible and visible when compared to original raw data. Different image quality metrics are used to compare the refined version of images with original images. In the next phase of the proposed study, the refined version of images is used to create 3D facial geometry structures by using Convolution Neural Networks (CNN). The generated outputs are then imported in blender software to finally extract the 3D thermal facial outputs of both males and females. The same technique is also used on our thermal face data acquired using prototype thermal camera (developed under Heliaus EU project) in an indoor lab environment which is then used for generating synthetic 3D face data along with varying yaw face angles and lastly facial depth map is generated.

Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial first step for clinical diagnosis and treatment. However, direct segmentation of LGE-MRIs is challenging due to its attenuated contrast. Since most clinical studies have relied on manual and labor-intensive approaches, automatic methods are of high interest, particularly optimized machine learning approaches. To address this, we organized the "2018 Left Atrium Segmentation Challenge" using 154 3D LGE-MRIs, currently the world's largest cardiac LGE-MRI dataset, and associated labels of the left atrium segmented by three medical experts, ultimately attracting the participation of 27 international teams. In this paper, extensive analysis of the submitted algorithms using technical and biological metrics was performed by undergoing subgroup analysis and conducting hyper-parameter analysis, offering an overall picture of the major design choices of convolutional neural networks (CNNs) and practical considerations for achieving state-of-the-art left atrium segmentation. Results show the top method achieved a dice score of 93.2% and a mean surface to a surface distance of 0.7 mm, significantly outperforming prior state-of-the-art. Particularly, our analysis demonstrated that double, sequentially used CNNs, in which a first CNN is used for automatic region-of-interest localization and a subsequent CNN is used for refined regional segmentation, achieved far superior results than traditional methods and pipelines containing single CNNs. This large-scale benchmarking study makes a significant step towards much-improved segmentation methods for cardiac LGE-MRIs, and will serve as an important benchmark for evaluating and comparing the future works in the field.

Jeffrey Regier, Andrew C. Miller, David Schlegel, Ryan P. Adams, Jon D. McAuliffe, Prabhat.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1884--1926.

Abstract:
We present a new, fully generative model for constructing astronomical catalogs from optical telescope image sets. Each pixel intensity is treated as a random variable with parameters that depend on the latent properties of stars and galaxies. These latent properties are themselves modeled as random. We compare two procedures for posterior inference. One procedure is based on Markov chain Monte Carlo (MCMC) while the other is based on variational inference (VI). The MCMC procedure excels at quantifying uncertainty, while the VI procedure is 1000 times faster. On a supercomputer, the VI procedure efficiently uses 665,000 CPU cores to construct an astronomical catalog from 50 terabytes of images in 14.6 minutes, demonstrating the scaling characteristics necessary to construct catalogs for upcoming astronomical surveys.

Qiwei Li, Xinlei Wang, Faming Liang, Guanghua Xiao.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1708--1732.

Abstract:
With the advance of imaging technology, digital pathology imaging of tumor tissue slides is becoming a routine clinical procedure for cancer diagnosis. This process produces massive imaging data that capture histological details in high resolution. Recent developments in deep-learning methods have enabled us to identify and classify individual cells from digital pathology images at large scale. Reliable statistical approaches to model the spatial pattern of cells can provide new insight into tumor progression and shed light on the biological mechanisms of cancer. We consider the problem of modeling spatial correlations among three commonly seen cells observed in tumor pathology images. A novel geostatistical marking model with interpretable underlying parameters is proposed in a Bayesian framework. We use auxiliary variable MCMC algorithms to sample from the posterior distribution with an intractable normalizing constant. We demonstrate how this model-based analysis can lead to sharper inferences than ordinary exploratory analyses, by means of application to three benchmark datasets and a case study on the pathology images of $188$ lung cancer patients. The case study shows that the spatial correlation between tumor and stromal cells predicts patient prognosis. This statistical methodology not only presents a new model for characterizing spatial correlations in a multitype spatial point pattern conditioning on the locations of the points, but also provides a new perspective for understanding the role of cell–cell interactions in cancer progression.

[London?], [199-?]

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular

Georg S. Kranz
Nov 12, 2014; 34:15466-15475
Systems/Circuits

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular

Geoffrey M. Boynton
Jul 1, 1996; 16:4207-4221
Articles

New calculations show that the ring of light surrounding a black hole is actually made up of infinite subrings that can’t be seen with current technology

Biologist Tagide deCarvalho created this award-winning image of the tardigrade using fluorescent stains

The controversial series stems from the museum's desire to reach a younger generation by telling history in new ways

The London institution's online offerings include 280,000 newly added Creative Commons images

Artists from Michigan and around the world are painting 50 murals in Flint to refocus the city's image on art rather than the lead-tainted water crisis.

The post SOLIDWORKS Apps for Kids How-To: Trim an Image appeared first on SOLIDWORKS Education Blog.

The success of Apple's AirPods line did better than the company "could ever imagine," Apple VP of product marketing Greg Joswiak claims in a profile on the audio accessories' popularity, one that also reveals extensive resources have been put into mapping ears.

SOLIDWORKS Image Quality settings have the biggest impact on file size and system performance. We always assumed that it would have an impact on overall performance also. The effect varies widely across different files, so we decided to do SOLIDWORKS

Author information

The post The Impact of Image Quality on SOLIDWORKS Performance and File Size appeared first on SOLIDWORKS Tech Blog.

Young Mexicans are challenged to do their part in missions during a conference in August, in which OM participated.

OM EAST offers a special start to the new school term for hundreds of children in Bosnia-Herzegovina.

NEW YORK, USA (AP) — Queen Latifah, Rebecca Breeds, and Thomas Middleditch are set to star in three new CBS shows for the 2020-21 season as the network adds a reimagined Equalizer, a show based on The Silence of the Lambs and a comedy about organ donation.

Cross-sectional imaging can reduce the negative appendectomy rate (NAR) in children being evaluated for suspected appendicitis; however, the ability of diagnostic imaging to decrease NAR may vary by age and gender.

Cross-sectional imaging leads to a significant reduction in NAR for children younger than 5 years and girls older than 10 years. For boys older than 5 years being evaluated for uncomplicated appendicitis, advanced imaging appears to have limited value. (Read the full article)

Retinal hemorrhages occur in accidental and inflicted traumatic brain injury (ITBI) and some medical encephalopathies. Large numbers and peripherally located retinal hemorrhages are frequently cited as distinguishing features of ITBI in infants, but the predictive value has not been established.

This prospective retinal imaging study found that a diagnosis of ITBI in infants and children can be distinguished from other traumatic and nontraumatic causes by the presence of >25 dot-blot (intraretinal layer) hemorrhages (positive predictive value = 93%). (Read the full article)

Medical imaging that uses ionizing radiation provides notable benefits in the clinical setting. Controversy regarding increased cancer risk, particularly in children, dictates that ordering practices and use of such medical imaging be evaluated to reduce unnecessary exposure to imaging-related radiation.

We evaluated the prevalence and characteristics of diagnostic imaging procedures in children. The proportion of higher radiation procedures is increasing, especially among children evaluated in the inpatient and emergency department settings and those with gastrointestinal and neurologic symptoms, and congenital anomalies. (Read the full article)

Gaining intravenous access in children can be difficult. Recently, several near-infrared devices have been introduced attempting to support intravenous cannulation by visualizing veins underneath skin. Only one of those devices has been evaluated systemically thus far and results are inconclusive.

Although it was possible to visualize veins with near-infrared in most patients, the VascuLuminator did not improve the success of cannulation. An explanation is that the main problem is probably not localization of the vein but insertion of the cannula. (Read the full article)

Because pediatric appendicitis is challenging to diagnose, computed tomography (CT) is used frequently. Childhood radiation exposure is associated with increased risk of cancer. Ultrasound avoids radiation exposure but is less sensitive for appendicitis than CT.

Controlling for referral bias, evaluation at a community compared with a children’s hospital is associated with higher CT and lower ultrasound use before appendectomy. CT and ultrasound accuracy for appendicitis in children varies with hospital type. (Read the full article)

There is a lack of consensus regarding the optimal investigative approach after a first febrile urinary tract infection. This is because of uncertainty regarding the long-term clinical significance of vesicoureteral reflux and urinary tract infection–related renal scarring.

No ideal diagnostic algorithm exists. We found marked variability in sensitivity and specificity for detection of abnormalities using current protocols. We also highlight the considerable cost differences, both financially and in terms of radiation dose, of different protocols. (Read the full article)

Computed tomography is commonly used for neuroimaging in newborn infants with neonatal encephalopathy despite concerns over potential harm from radiation exposure. Alternative neuroimaging options include MRI and cranial ultrasound.

Using a very large, international, multicenter database, we demonstrate utilization rates and compare diagnostic findings of computed tomography, MRI, and cranial ultrasound in the evaluation of neonatal encephalopathy. (Read the full article)

Professional organizations recommend ultrasound as the initial diagnostic imaging modality for children with suspected nephrolithiasis. Computed tomography utilization for children with nephrolithiasis treated at freestanding children’s hospitals is common and varies substantially by hospital.

The high prevalence and regional variability of CT as the first imaging study for children with nephrolithiasis who presented to emergency departments, outpatient clinics, and hospitals throughout the United States indicate that current imaging practices deviate substantially from guidelines. (Read the full article)

White matter abnormality (WMA) on neuroimaging is considered a crucial link with adverse neurodevelopmental outcome in preterm infants. Brain MRI is more sensitive in detecting WMA than cranial ultrasound (CUS), but questions remain about timing and prognostic value of modalities.

Near-term CUS and MRI abnormalities were associated with adverse 18- to 22-month outcomes, independent of early CUS and other factors, underscoring the relative prognostic value of later neuroimaging in this large, extremely preterm cohort surviving to near-term. (Read the full article)

Concern of the risk of malignancy from ionizing radiation has prompted many to advocate for judicious use of computed tomography (CT) and as low as necessary radiation doses administered per scan. Recent analysis has shown a decline in CT utilization.

We identified decreases in CT utilization between 2004 and 2012 for the 10 most common diagnostic groups receiving CT. Decreases were typically associated with increases in alternate imaging modalities. We provide a possible reason for the decrease in CT utilization. (Read the full article)

Given the efforts to decrease the use of ionizing radiation in pediatric patients, there is significant variability in head computed tomography (CT) scan use in pediatric emergency departments for minor head trauma.

This study characterized variability in CT scan rates for all body regions in emergency department, observation, and inpatient encounters across 30 tertiary pediatric hospitals. Two-fold variation remained after case-mix adjustment, with higher volume hospitals having lower rates of CT scanning. (Read the full article)

Los conflictos en los países pequeños suelen agravarse debido a la indiferencia internacional. Sin embargo, en el caso de la República Centroafricana (RCA), el problema es ligeramente distinto. Hay una importante presencia internacional en este Estado, pero los actores principales han decidido mantenerse al margen y esperar en vez de intervenir activamente en la crisis.

Brain infections with Cryptococcus neoformans are associated with significant morbidity and mortality. Cryptococcosis typically presents as meningoencephalitis or fungal mass lesions called cryptococcomas. Despite frequent in vitro discoveries of promising novel antifungals, the clinical need for drugs that can more efficiently treat these brain infections remains. A crucial step in drug development is the evaluation of in vivo drug efficacy in animal models. This mainly relies on survival studies or post-mortem analyses in large groups of animals, but these techniques only provide information on specific organs of interest at predefined time points. In this proof-of-concept study, we validated the use of non-invasive preclinical imaging to obtain longitudinal information on the therapeutic efficacy of amphotericin B or fluconazole monotherapy in meningoencephalitis and cryptococcoma mouse models. Bioluminescence imaging (BLI) enabled the rapid in vitro and in vivo evaluation of drug efficacy while complementary high-resolution anatomical information obtained by magnetic resonance imaging (MRI) of the brain allowed a precise assessment of the extent of infection and lesion growth rates. We demonstrated a good correlation between both imaging readouts and the fungal burden in various organs. Moreover, we identified potential pitfalls associated with the interpretation of therapeutic efficacy based solely on post-mortem studies, demonstrating the added value of this non-invasive dual imaging approach compared to standard mortality curves or fungal load endpoints. This novel preclinical imaging platform provides insights in the dynamic aspects of the therapeutic response and facilitates a more efficient and accurate translation of promising antifungal compounds from bench to bedside.

CNA Staff, Mar 31, 2020 / 06:01 pm (CNA).- Local media in Nicaragua are reporting that despite the nation’s bishops’ conference suspending Mass and prohibiting large gatherings, the mayor of Granada is going ahead with an annual pilgrimage that the bishops had canceled.

For more than 150 years, Catholics in Nicaragua have venerated an image of Jesus del Rescate (Jesus of the Rescue) in Popoyuapa, near the city of Rivas. The image represents the crowning of thorns and the flogging of Christ.

Normally there is an annual pilgrimage to the image, which pilgrims make by wagon and on foot, during the "Week of Sorrows" that marks "the final stretch" of the time of Lent, according to ACI Prensa, CNA’s Spanish language news partner.

However, the bishops have said that this year it will not be possible to carry it out in the traditional way, given the coronavirus (COVID-19) pandemic.

Nevertheless, Julia Mena, mayor of Granada, has organized and funded a group of pilgrims to do the pilgrimage, providing them with food and personal hygiene supplies, according to the Nicaraguan news website Confidencial. The priest at the shrine told Confidencial that he has “no plans to receive the pilgrimage.”

The Nicaraguan Episcopal Conference has not commented publicly on the matter.

Nicaragua has five confirmed cases of COVID-19. The government has not yet decreed any kind of alert or emergency regarding the pandemic, nor has it ordered a suspension of classes, Confidencial reports.

The country’s Ministry of Health has maintained that the internal movements of travelers arriving from countries with outbreaks of coronavirus would not be restricted, La Prensa reports.

President Daniel Ortega has been president of Nicaragua since 2007, and oversaw the abolition of presidential term limits in 2014.

The Church had suggested that elections, which are not scheduled until 2021, be held this year, but Ortega has ruled this out.

Ortega was a leader in the Sandinista National Liberation Front, which had ousted the Somoza dictatorship in 1979 and fought US-backed right-wing counterrevolutionaries during the 1980s. Ortega was also leader of Nicaragua from 1979 to 1990.

Google's reverse image search is a breeze on a desktop, but what about when you're on a mobile device? Google, Bing, and others have options.

Apple's new $4,999 Pro Display XDR monitor (and its $1,000 stand) may sound mighty expensive on the surface. It has the potential to upend a whole industry, however—it's made to compete with panels five to ten times the price. We have one in-house, and here are our first impressions.

Here Mudassar Ahmed Khan has explained with an example, how to show Calendar Icon (Image) next to TextBox using Bootstrap DatePicker (Calendar) plugin. The Calendar Icon (Image) will be displayed using Calendar Icon with Bootstrap FontAwesome Glyphicon Icon. When the Bootstrap FontAwesome Glyphicon Icon is clicked, the Bootstrap DatePicker Calendar is shown.