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https://www.readbyqxmd.com/read/28334085/environmental-niche-divergence-among-three-dune-shrub-sister-species-with-parapatric-distributions
#1
Sergio Chozas, Rosa M Chefaoui, Otília Correia, Raúl Bonal, Joaquín Hortal
Background and Aims: The geographical distributions of species are constrained by their ecological requirements. The aim of this work was to analyse the effects of environmental conditions, historical events and biogeographical constraints on the diversification of the three species of the western Mediterranean shrub genus Stauracanthus , which have a parapatric distribution in the Iberian Peninsula. Methods: Ecological niche factor analysis and generalized linear models were used to measure the response of all Stauracanthus species to the environmental gradients and map their potential distributions in the Iberian Peninsula...
February 20, 2017: Annals of Botany
https://www.readbyqxmd.com/read/28333649/multi-scale-rotation-invariant-convolutional-neural-networks-for-lung-texture-classification
#2
Qiangchang Wang, Yuanjie Zheng, Gongping Yang, Weidong Jin, Xinjian Chen, Yilong Yin
We propose a new Multi-scale Rotation-invariant Convolutional Neural Network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography (HRCT). MRCNN employs Gabor-local binary pattern (Gabor-LBP) which introduces a good property in image analysis - invariance to image scales and rotations. In addition, we offer an approach to deal with the problems caused by imbalanced number of samples between different classes in most of the existing works, accomplished by changing the overlapping size between the adjacent patches...
March 21, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28333647/automatic-choroidal-layer-segmentation-using-markov-random-field-and-level-set-method
#3
Chuang Wang, Yongmin Li, Ya Xing Wang
The choroid is an important vascular layer that supplies oxygen and nourishment to the retina. The changes in thickness of the choroid have been hypothesised to relate to a number of retinal diseases in the pathophysiology. In this work, an automatic method is proposed for segmenting the choroidal layer from macular images by using the level set framework. The 3D nonlinear anisotropic diffusion filter is used to remove all the OCT imaging artifacts including the speckle noise and to enhance the contrast. The distance regularisation and edge constraint terms are embedded into the level set method to avoid the irregular and small regions and keep information about the boundary between the choroid and sclera...
March 20, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28331889/unsupervised-labeling-of-glomerular-boundaries-using-gabor-filters-and-statistical-testing-in-renal-histology
#4
Brandon Ginley, John E Tomaszewski, Rabi Yacoub, Feng Chen, Pinaki Sarder
The glomerulus is the blood filtering unit of the kidney. Each human kidney contains [Formula: see text] glomeruli. Several renal conditions originate from structural damage to glomerular microcompartments, such as proteinuria, the excessive loss of blood proteins into urine. The gold standard for evaluating structural damage in renal pathology is histopathological and immunofluorescence examination of needle biopsies under a light microscope. This method is limited by qualitative or semiquantitative manual scoring approaches to the evaluation of glomerular structural features...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28331793/texture-analysis-of-abnormal-cell-images-for-predicting-the-continuum-of-colorectal-cancer
#5
Ahmad Chaddad, Camel Tanougast
Abnormal cell (ABC) is a markedly heterogeneous tissue area and can be categorized into three main types: benign hyperplasia (BH), carcinoma (Ca), and intraepithelial neoplasia (IN) or precursor cancerous lesion. In this study, the goal is to determine and characterize the continuum of colorectal cancer by using a 3D-texture approach. ABC was segmented in preprocessing step using an active contour segmentation technique. Cell types were analyzed based on textural features extracted from the gray level cooccurrence matrices (GLCMs)...
2017: Analytical Cellular Pathology (Amsterdam)
https://www.readbyqxmd.com/read/28331576/bumblebees-require-visual-pollen-stimuli-to-initiate-and-multimodal-stimuli-to-complete-a-full-behavioral-sequence-in-close-range-flower-orientation
#6
Saskia Wilmsen, Robin Gottlieb, Robert R Junker, Klaus Lunau
Flower visits are complex encounters, in which animals are attracted by floral signals, guided toward the site of the first physical contact with a flower, land, and finally take up floral rewards. At close range, signals of stamens and pollen play an important role to facilitate flower handling in bees, yet the pollen stimuli eliciting behavioral responses are poorly known. In this study, we test the response of flower-naive bumblebees (Bombus terrestris) toward single and multimodal pollen stimuli as compared to natural dandelion pollen...
March 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28328503/fast-spin-echo-imaging-based-ept-with-k-space-weighting-via-t-sub-2-sub-relaxation-rept
#7
Jaewook Shin, Min-Oh Kim, Sungmin Cho, Dong-Hyun Kim
Magnetic resonance electrical property tomography (MREPT) is a technique used to extract the electrical properties of tissues (conductivity in particular) using a magnetic resonance imaging (MRI) system. In this work, we propose an improved data acquisition scheme for electrical property tomography technique by utilizing T2 modulation in fast spin echo (FSE) imaging. This technique was motivated by numerical analysis of conductivity reconstruction in the frequency domain; results reveal the spatial frequency-dependent noise texture of conventional methods...
March 17, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28328499/importance-of-matching-physical-friction-hardness-and-texture-in-creating-realistic-haptic-virtual-surfaces
#8
Heather Culbertson, Katherine J Kuchenbecker
Interacting with physical objects through a tool elicits tactile and kinesthetic sensations that comprise your haptic impression of the object. These cues, however, are largely missing from interactions with virtual objects, yielding an unrealistic user experience. This article evaluates the realism of virtual surfaces rendered using haptic models constructed from data recorded during interactions with real surfaces. The models include three components: surface friction, tapping transients, and texture vibrations...
January 2017: IEEE Transactions on Haptics
https://www.readbyqxmd.com/read/28327625/early-metabolic-and-transcriptional-variations-in-fruit-of-natural-white-fruited-fragaria-vesca-genotypes
#9
Katja Härtl, Alisandra Denton, Katrin Franz-Oberdorf, Thomas Hoffmann, Melanie Spornraft, Björn Usadel, Wilfried Schwab
Strawberry fruits (Fragaria vesca) are valued for their sweet fruity flavor, juicy texture, and characteristic red color caused by anthocyanin pigments. To gain a deeper insight into the regulation of anthocyanin biosynthesis, we performed comparative metabolite profiling and transcriptome analyses of one red-fruited and two natural white-fruited strawberry varieties in two tissues and three ripening stages. Developing fruit of the three genotypes showed a distinctive pattern of polyphenol accumulation already in green receptacle and achenes...
March 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28327515/shadow-detection-based-on-regions-of-light-sources-for-object-extraction-in-nighttime-video
#10
Gil-Beom Lee, Myeong-Jin Lee, Woo-Kyung Lee, Joo-Heon Park, Tae-Hwan Kim
Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection. Shadow regions inside video frames sometimes appear as foreground objects, interfere with ensuing processes, and finally degrade the event detection performance of the systems. Conventional studies have mostly used intensity, color, texture, and geometric information to perform shadow detection in daytime video, but these methods lack the capability of removing shadows in nighttime video...
March 22, 2017: Sensors
https://www.readbyqxmd.com/read/28327449/integrated-local-binary-pattern-texture-features-for-classification-of-breast-tissue-imaged-by-optical-coherence-microscopy
#11
Sunhua Wan, Hsiang-Chieh Lee, Xiaolei Huang, Ting Xu, Tao Xu, Xianxu Zeng, Zhan Zhang, Yuri Sheikine, James L Connolly, James G Fujimoto, Chao Zhou
This paper proposes a texture analysis technique that can effectively classify different types of human breast tissue imaged by Optical Coherence Microscopy (OCM). OCM is an emerging imaging modality for rapid tissue screening and has the potential to provide high resolution microscopic images that approach those of histology. OCM images, acquired without tissue staining, however, pose unique challenges to image analysis and pattern classification. We examined multiple types of texture features and found Local Binary Pattern (LBP) features to perform better in classifying tissues imaged by OCM...
March 8, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28326783/leaching-of-diuron-hexazinone-and-sulfometuron-methyl-applied-alone-and-in-mixture-in-soils-with-contrasting-textures
#12
Fabricia Cristina Dos Reis, Valdemar Luiz Tornisielo, Rodrigo Floriano Pimpinato, Bianca A B Martins, Ricardo Victória Filho
When herbicides are applied in mixture, interactions among them could potentially promote changes in herbicide behavior in the soil. Thus, application mode (isolated or in mixture) and soil texture (sandy or clayey) were investigated in the total leaching of the commercial mixture diuron + hexazinone + sulfometuron-methyl, and of each isolated compound. Experiments in soil columns also evaluated the movement of each herbicide and mixtures across soil layers. In the sandy soil, the greatest total leaching was observed with hexazinone compared to diuron and sulfometuron...
March 22, 2017: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/28326776/exopolysaccharides-production-during-the-fermentation-of-soybean-and-fava-bean-flours-by-leuconostoc-mesenteroides-dsm-20343
#13
Yan Xu, Rossana Coda, Qiao Shi, Päivi Tuomainen, Kati Katina, Maija Tenkanen
Consumption of legumes is highly recommended due to their beneficial properties. Thus, there is a great interest in developing new legume-based products with good texture. In situ produced microbial exopolysaccharides (EPS) are regarded as efficient texture modifiers in the food industry. In this study, soybean and fava bean flours with different levels of added sucrose were fermented by Leuconostoc mesenteroides DSM 20343. After fermentation, a significant increase in viscosity was observed. Sugars, glucans, fructans, mannitol, lactic acid and acetic acid were quantified to follow the EPS and metabolite production...
March 22, 2017: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/28325604/early-prediction-of-radiotherapy-induced-parotid-shrinkage-and-toxicity-based-on-ct-radiomics-and-fuzzy-classification
#14
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the prediction is obtained timely, before or during the early phase of treatment. Artificial intelligence can address the problem, by learning from examples and building classification models. In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers...
March 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28325451/multiview-boosting-digital-pathology-analysis-of-prostate-cancer
#15
Jin Tae Kwak, Stephen M Hewitt
BACKGROUND AND OBJECTIVE: Various digital pathology tools have been developed to aid in analyzing tissues and improving cancer pathology. The multi-resolution nature of cancer pathology, however, has not been fully analyzed and utilized. Here, we develop an automated, cooperative, and multi-resolution method for improving prostate cancer diagnosis. METHODS: Digitized tissue specimen images are obtained from 5 tissue microarrays (TMAs). The TMAs include 70 benign and 135 cancer samples (TMA1), 74 benign and 89 cancer samples (TMA2), 70 benign and 115 cancer samples (TMA3), 79 benign and 82 cancer samples (TMA4), and 72 benign and 86 cancer samples (TMA5)...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325447/statistical-tools-for-the-temporal-analysis-and-classification-of-lung-lesions
#16
Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Hélio Lopes, Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass
BACKGROUND AND OBJECTIVE: Lung cancer remains one of the most common cancers globally. Temporal evaluation is an important tool for analyzing the malignant behavior of lesions during treatment, or of indeterminate lesions that may be benign. This work proposes a methodology for the analysis, quantification, and visualization of small (local) and large (global) changes in lung lesions. In addition, we extract textural features for the classification of lesions as benign or malignant. METHODS: We employ the statistical concept of uncertainty to associate each voxel of a lesion to a probability that changes occur in the lesion over time...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325341/amylopectin-molecular-structure-in-relation-to-physicochemical-properties-of-quinoa-starch
#17
Guantian Li, Fan Zhu
Structure-function relationships of starch components remain a subject of research interest. Quinoa starch has very small granules (∼2μm) with unique properties. In this study, nine quinoa starches varied greatly in composition, structure, and physicochemical properties were selected for the analysis of structure-function relationships. Pearson correlation analysis revealed that the properties related to gelatinization such as swelling power, water solubility index, crystallinity, pasting, and thermal properties are much affected by the amylopectin chain profile and amylose content...
May 15, 2017: Carbohydrate Polymers
https://www.readbyqxmd.com/read/28325337/lyotropic-liquid-crystal-behavior-of-carboxylated-cellulose-nanocrystals
#18
Jintao He, Sitong Liu, Ling Li, Guangzhe Piao
In this work, the lyotropic liquid crystal (LC) behavior of carboxylated cellulose nanocrystals (CNs) has been studied for cotton cellulose prepared by TEMPO-mediated oxidation of cellulose nanocrystals (TOCNs). It is found that suspensions of TOCNs at a critical concentration of 4.1wt% form anisotropic phase with clear optical birefringence. Furthermore, fingerprint texture is clearly observed when the concentration is 9.0wt% under a polarizing optical microscope. Fingerprint texture is characteristic of chiral nematic liquid crystal (N*-LC) phase...
May 15, 2017: Carbohydrate Polymers
https://www.readbyqxmd.com/read/28325002/radiomic-analysis-of-multi-contrast-brain-mri-for-the-prediction-of-survival-in-patients-with-glioblastoma-multiforme
#19
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Image texture features are effective at characterizing the microstructure of cancerous tissues. This paper proposes predicting the survival times of glioblastoma multiforme (GBM) patients using texture features extracted in multi-contrast brain MRI images. Texture features are derived locally from contrast enhancement, necrosis and edema regions in T1-weighted post-contrast and fluid-attenuated inversion-recovery (FLAIR) MRIs, based on the gray-level co-occurrence matrix representation. A statistical analysis based on the Kaplan-Meier method and log-rank test is used to identify the texture features related with the overall survival of GBM patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324966/random-forests-to-predict-tumor-recurrence-following-cervical-cancer-therapy-using-pre-and-per-treatment-18-f-fdg-pet-parameters
#20
Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Henri Der Sarkissian, Lina Guzman, Eloi'se Grossiord, Juan-David Ospina, Renaud De Crevoisier
The ability to predict tumor recurrence after chemoradiotherapy of locally advanced cervical cancer is a crucial clinical issue to intensify the treatment of the most high-risk patients. The objective of this study was to investigate tumor metabolism characteristics extracted from pre- and per-treatment (18)F-FDG PET images to predict 3-year overall recurrence (OR). A total of 53 locally advanced cervical cancer patients underwent pre- and per-treatment (18)F-FDG PET (respectively PET1 and PET2). Tumor metabolism was characterized through several delineations using different thresholds, based on a percentage of the maximum uptake, and applied by region-growing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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