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https://www.readbyqxmd.com/read/27922974/training-and-validating-a-deep-convolutional-neural-network-for-computer-aided-detection-and-classification-of-abnormalities-on-frontal-chest-radiographs
#1
Mark Cicero, Alexander Bilbily, Errol Colak, Tim Dowdell, Bruce Gray, Kuhan Perampaladas, Joseph Barfett
OBJECTIVES: Convolutional neural networks (CNNs) are a subtype of artificial neural network that have shown strong performance in computer vision tasks including image classification. To date, there has been limited application of CNNs to chest radiographs, the most frequently performed medical imaging study. We hypothesize CNNs can learn to classify frontal chest radiographs according to common findings from a sufficiently large data set. MATERIALS AND METHODS: Our institution's research ethics board approved a single-center retrospective review of 35,038 adult posterior-anterior chest radiographs and final reports performed between 2005 and 2015 (56% men, average age of 56, patient type: 24% inpatient, 39% outpatient, 37% emergency department) with a waiver for informed consent...
December 5, 2016: Investigative Radiology
https://www.readbyqxmd.com/read/27922660/combined-vision-and-wearable-sensors-based-system-for-movement-analysis-in-rehabilitation
#2
Sofija Spasojević, Tihomir V Ilić, Slađan Milanović, Veljko Potkonjak, Aleksandar Rodić, José Santos-Victor
BACKGROUND: Traditional rehabilitation sessions are often a slow, tedious, disempowering and non-motivational process, supported by clinical assessment tools, i.e. evaluation scales that are prone to subjective rating and imprecise interpretation of patient's performance. Poor patient motivation and insufficient accuracy are thus critical factors that can be improved by new sensing / processing technologies. OBJECTIVES: We aim to develop a portable and affordable system, suitable for home rehabilitation, which combines vision-based and wearable sensors...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27917577/inter-and-intra-specific-diversity-in-cistus-l-cistaceae-seeds-analyzed-by-computer-vision-techniques
#3
Marisol Lo Bianco, Oscar Grillo, Eva Cañadas, Gianfranco Venora, Gianluigi Bacchetta
This work aims to discriminate among different species of the genus Cistus, using seeds parameters and following the scientific plant names included as accepted in The Plant List. Also the intra-specific phenotypic differentiation of C. creticus, through the comparison of three subspecies (C. creticus subsp. creticus, C. c. subsp. eriocephalus and C. c. subsp. corsicus) and the inter-population variability among five C. creticus subsp. eriocephalus populations, were evaluated. Seed mean weight and 137 morpho-colorimetric quantitative variables, describing shape, size, color and textural seed traits, were measured using image analysis techniques...
December 5, 2016: Plant Biology
https://www.readbyqxmd.com/read/27916011/association-of-accessory-sphenoid-septa-with-variations-in-neighbouring-structures
#4
F Aksoy, A Yenigun, S S Goktas, O Ozturan
OBJECTIVE: This study aimed to examine the relationship of the accessory sphenoidal septum with surrounding vital structures and their variations. METHODS: This cross-sectional retrospective study investigated the prevalence of accessory sphenoidal septa and their relationship with variations in surrounding vital structures in coronal and axial paranasal computed tomography images. RESULTS: Coronal and axial computed tomography images of 347 patients were assessed to evaluate the presence of accessory sphenoidal septa...
December 5, 2016: Journal of Laryngology and Otology
https://www.readbyqxmd.com/read/27914078/computer-vision-based-image-analysis-of-bacteria
#5
Jonas Danielsen, Pontus Nordenfelt
Microscopy is an essential tool for studying bacteria, but is today mostly used in a qualitative or possibly semi-quantitative manner often involving time-consuming manual analysis. It also makes it difficult to assess the importance of individual bacterial phenotypes, especially when there are only subtle differences in features such as shape, size, or signal intensity, which is typically very difficult for the human eye to discern. With computer vision-based image analysis - where computer algorithms interpret image data - it is possible to achieve an objective and reproducible quantification of images in an automated fashion...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27913350/guided-wavelet-shrinkage-for-edge-aware-smoothing
#6
Guang Deng
Edge-aware smoothing has been extensively studied due to its wide range of applications in computer vision and graphics.Most published works have been focused on formulating the smoothing problem in the spatial domain. In this paper, we propose a new edge-aware smoothing framework called guided wavelet shrinkage (GWS) which is formulated in the wavelet domain as a maximum a posterior estimation problem. We impose a number of desirable properties on the statistical models and the associated parameters in order to derive an effective and computationally efficient algorithm...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27913348/automatic-refinement-strategies-for-manual-initialization-of-object-trackers
#7
Hao Zhu, Fatih Porikli
Tracking objects across multiple frames is a wellinvestigated problem in computer vision. The majority of the existing algorithms assume an accurate initialization is readily available. However, in many real-life settings, in particular for applications where the video is streaming in real-time, the initialization has to be provided by a human operator. This limitation raises an inevitable uncertainty issue. Here, we first collect a large and new dataset of inputs that consists of more than 20K human initialization clicks, called as HIC, by several subjects under three practical user interface scenarios for the popular TB50 tracking benchmark...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27913345/facial-age-estimation-with-age-difference
#8
Zhenzhen Hu, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, Shuicheng Yan
Age estimation based on the human face remains a significant problem in computer vision and pattern recognition. In order to estimate an accurate age or age group of a facial image, most of the existing algorithms require a huge face data set attached with age labels. This imposes a constraint on the utilization of the immensely unlabeled or weakly labeled training data, e.g. the huge amount of human photos in the social networks. These images may provide no age label, but it is easily to derive the age difference for an image pair of the same person...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27913232/visual-acuity-and-quality-of-life-in-dry-eye-disease-proceedings-of-the-ocean-group-meeting
#9
José Benítez-Del-Castillo, Marc Labetoulle, Christophe Baudouin, Maurizio Rolando, Yonca A Akova, Pasquale Aragona, Gerd Geerling, Jesús Merayo-Lloves, Elisabeth M Messmer, Kostas Boboridis
Dry eye disease (DED) results in tear film instability and hyperosmolarity, inflammation of the ocular surface and, ultimately, visual disturbance that can significantly impact a patient's quality of life. The effects on visual acuity result in difficulties with driving, reading and computer use and negatively impact psychological health. These effects also extend to the workplace, with a loss of productivity and quality of work causing substantial economic losses. The effects of DED and the impact on vision experienced by patients may not be given sufficient importance by ophthalmologists...
November 29, 2016: Ocular Surface
https://www.readbyqxmd.com/read/27911905/semi-supervised-feature-transformation-for-tissue-image-classification
#10
Kenji Watanabe, Takumi Kobayashi, Toshikazu Wada
Various systems have been proposed to support biological image analysis, with the intent of decreasing false annotations and reducing the heavy burden on biologists. These systems generally comprise a feature extraction method and a classification method. Task-oriented methods for feature extraction leverage characteristic images for each problem, and they are very effective at improving the classification accuracy. However, it is difficult to utilize such feature extraction methods for versatile task in practice, because few biologists specialize in Computer Vision and/or Pattern Recognition to design the task-oriented methods...
2016: PloS One
https://www.readbyqxmd.com/read/27911345/computing-the-influences-of-different-intraocular-pressures-on-the-human-eye-components-using-computational-fluid-structure-interaction-model
#11
Alireza Karimi, Reza Razaghi, Mahdi Navidbakhsh, Toshihiro Sera, Susumu Kudo
BACKGROUND: Intraocular Pressure (IOP) is defined as the pressure of aqueous in the eye. It has been reported that the normal range of IOP should be within the 10-20 mmHg with an average of 15.50 mmHg among the ophthalmologists. Keratoconus is an anti-inflammatory eye disorder that debilitated cornea unable to reserve the normal structure contrary to the IOP in the eye. Consequently, the cornea would bulge outward and invoke a conical shape following by distorted vision. In addition, it is known that any alterations in the structure and composition of the lens and cornea would exceed a change of the eye ball as well as the mechanical and optical properties of the eye...
November 25, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27910396/four-dimensional-4d-tracking-of-high-temperature-microparticles
#12
Zhehui Wang, Q Liu, W Waganaar, J Fontanese, D James, T Munsat
High-speed tracking of hot and molten microparticles in motion provides rich information about burning plasmas in magnetic fusion. An exploding-wire apparatus is used to produce moving high-temperature metallic microparticles and to develop four-dimensional (4D) or time-resolved 3D particle tracking techniques. The pinhole camera model and algorithms developed for computer vision are used for scene calibration and 4D reconstructions. 3D positions and velocities are then derived for different microparticles...
November 2016: Review of Scientific Instruments
https://www.readbyqxmd.com/read/27909613/the-novel-laparoscopic-training-3d-model-in-urology-with-surgical-anatomic-remarks-fresh-frozen-cadaveric-tissue
#13
REVIEW
Emre Huri, Mehmet Ezer, Eddie Chan
Laparoscopic surgery is routinely used to treat many urological conditions and it is the gold standard treatment option for many surgeries such as radical nephrectomy. Due to the difficulty of learning, laparoscopic training should start outside the operating room. Although it is a very different model of laparoscopic training; the aim of this review is to show the value of human cadaveric model for laparoscopic training and present our experience in this area. Fresh frozen cadaveric model in laparoscopic training, dry lab, cadaveric model, animal models and computer based simulators are the most commonly used models for laparoscopic training...
December 2016: Turkish Journal of Urology
https://www.readbyqxmd.com/read/27907807/transitional-probabilities-count-more-than-frequency-but-might-not-be-used-for-memorization
#14
Ansgar D Endress, Alan Langus
Learners often need to extract recurring items from continuous sequences, in both vision and audition. The best-known example is probably found in word-learning, where listeners have to determine where words start and end in fluent speech. This could be achieved through universal and experience-independent statistical mechanisms, for example by relying on Transitional Probabilities (TPs). Further, these mechanisms might allow learners to store items in memory. However, previous investigations have yielded conflicting evidence as to whether a sensitivity to TPs is diagnostic of the memorization of recurring items...
November 28, 2016: Cognitive Psychology
https://www.readbyqxmd.com/read/27906279/adaptive-multifocus-image-fusion-using-block-compressed-sensing-with-smoothed-projected-landweber-integration-in-the-wavelet-domain
#15
Unni V S, Deepak Mishra, G R K S Subrahmanyam
The need for image fusion in current image processing systems is increasing mainly due to the increased number and variety of image acquisition techniques. Image fusion is the process of combining substantial information from several sensors using mathematical techniques in order to create a single composite image that will be more comprehensive and thus more useful for a human operator or other computer vision tasks. This paper presents a new approach to multifocus image fusion based on sparse signal representation...
December 1, 2016: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/27906262/light-field-and-holographic-three-dimensional-displays-invited
#16
Masahiro Yamaguchi
A perfect three-dimensional (3D) display that satisfies all depth cues in human vision is possible if a light field can be reproduced exactly as it appeared when it emerged from a real object. The light field can be generated based on either light ray or wavefront reconstruction, with the latter known as holography. This paper first provides an overview of the advances of ray-based and wavefront-based 3D display technologies, including integral photography and holography, and the integration of those technologies with digital information systems...
December 1, 2016: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/27898029/data-driven-multiresolution-camera-using-the-foveal-adaptive-pyramid
#17
Martin González, Antonio Sánchez-Pedraza, Rebeca Marfil, Juan A Rodríguez, Antonio Bandera
There exist image processing applications, such as tracking or pattern recognition, that are not necessarily precise enough to maintain the same resolution across the whole image sensor. In fact, they must only keep it as high as possible in a relatively small region, but covering a wide field of view. This is the aim of foveal vision systems. Briefly, they propose to sense a large field of view at a spatially-variant resolution: one relatively small region, the fovea, is mapped at a high resolution, while the rest of the image is captured at a lower resolution...
November 26, 2016: Sensors
https://www.readbyqxmd.com/read/27898003/human-pose-estimation-from-monocular-images-a-comprehensive-survey
#18
Wenjuan Gong, Xuena Zhang, Jordi Gonzàlez, Andrews Sobral, Thierry Bouwmans, Changhe Tu, El-Hadi Zahzah
Human pose estimation refers to the estimation of the location of body parts and how they are connected in an image. Human pose estimation from monocular images has wide applications (e.g., image indexing). Several surveys on human pose estimation can be found in the literature, but they focus on a certain category; for example, model-based approaches or human motion analysis, etc. As far as we know, an overall review of this problem domain has yet to be provided. Furthermore, recent advancements based on deep learning have brought novel algorithms for this problem...
November 25, 2016: Sensors
https://www.readbyqxmd.com/read/27897236/recognition-of-mould-colony-on-unhulled-paddy-based-on-computer-vision-using-conventional-machine-learning-and-deep-learning-techniques
#19
Ke Sun, Zhengjie Wang, Kang Tu, Shaojin Wang, Leiqing Pan
To investigate the potential of conventional and deep learning techniques to recognize the species and distribution of mould in unhulled paddy, samples were inoculated and cultivated with five species of mould, and sample images were captured. The mould recognition methods were built using support vector machine (SVM), back-propagation neural network (BPNN), convolutional neural network (CNN), and deep belief network (DBN) models. An accuracy rate of 100% was achieved by using the DBN model to identify the mould species in the sample images based on selected colour-histogram parameters, followed by the SVM and BPNN models...
November 29, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27896904/contrast-induced-encephalopathy-following-cardiac-catheterization
#20
Roberto Spina, Neil Simon, Romesh Markus, David Wm Muller, Krishna Kathir
OBJECTIVES: To describe the epidemiology, pathophysiology, clinical presentation, and management of contrast-induced encephalopathy (CIE) following cardiac catheterization. BACKGROUND: CIE is an acute, reversible neurological disturbance directly attributable to the intra-arterial administration of iodinated contrast medium. METHODS: The PubMed database was searched and all cases in the literature were retrieved and reviewed. RESULTS: 52 reports of CIE following cardiac catheterization were found...
November 29, 2016: Catheterization and Cardiovascular Interventions
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