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Texture classification

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https://www.readbyqxmd.com/read/28922134/training-based-gradient-lbp-feature-models-for-multiresolution-texture-classification
#1
Luping Ji, Yan Ren, Guisong Liu, Xiaorong Pu
Local binary pattern (LBP) is a simple, yet efficient coding model for extracting texture features. To improve texture classification, this paper designs a median sampling regulation, defines a group of gradient LBP (gLBP) descriptors, proposes a training-based feature model mapping method, and then develops a texture classification frame using the multiresolution feature fusion of four gLBP descriptors. Cooperated by median sampling, four descriptors encode a pixel respectively by central gradient, radial gradient, magnitude gradient and tangent gradient to generate initial gLBP patterns...
September 18, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28910352/deep-learning-approach-to-bacterial-colony-classification
#2
Bartosz Zieliński, Anna Plichta, Krzysztof Misztal, Przemysław Spurek, Monika Brzychczy-Włoch, Dorota Ochońska
In microbiology it is diagnostically useful to recognize various genera and species of bacteria. It can be achieved using computer-aided methods, which make the recognition processes more automatic and thus significantly reduce the time necessary for the classification. Moreover, in case of diagnostic uncertainty (the misleading similarity in shape or structure of bacterial cells), such methods can minimize the risk of incorrect recognition. In this article, we apply the state of the art method for texture analysis to classify genera and species of bacteria...
2017: PloS One
https://www.readbyqxmd.com/read/28884381/development-of-a-computer-aided-differential-diagnosis-system-to-distinguish-between-usual-interstitial-pneumonia-and-non-specific-interstitial-pneumonia-using-texture-and-shape-based-hierarchical-classifiers-on-hrct-images
#3
SangHoon Jun, BeomHee Park, Joon Beom Seo, SangMin Lee, Namkug Kim
A computer-aided differential diagnosis (CADD) system that distinguishes between usual interstitial pneumonia (UIP) and non-specific interstitial pneumonia (NSIP) using high-resolution computed tomography (HRCT) images was developed, and its results compared against the decision of a radiologist. Six local interstitial lung disease patterns in the images were determined, and 900 typical regions of interest were marked by an experienced radiologist. A support vector machine classifier was used to train and label the regions of interest of the lung parenchyma based on the texture and shape characteristics...
September 7, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28877645/bone-marrow-cavity-segmentation-using-graph-cuts-with-wavelet-based-texture-feature
#4
Hironori Shigeta, Tomohiro Mashita, Junichi Kikuta, Shigeto Seno, Haruo Takemura, Masaru Ishii, Hideo Matsuda
Emerging bioimaging technologies enable us to capture various dynamic cellular activities in vivo. As large amounts of data are obtained these days and it is becoming unrealistic to manually process massive number of images, automatic analysis methods are required. One of the issues for automatic image segmentation is that image-taking conditions are variable. Thus, commonly, many manual inputs are required according to each image. In this paper, we propose a bone marrow cavity (BMC) segmentation method for bone images as BMC is considered to be related to the mechanism of bone remodeling, osteoporosis, and so on...
August 25, 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28873627/statistical-pattern-recognition-classification-with-computer-vision-images-for-assessing-the-furan-content-of-fried-dough-pieces
#5
Gabriel A Leiva-Valenzuela, María Mariotti, Germán Mondragón, Franco Pedreschi
This research tested furan classification models in fried matrices based on the pattern recognition of images. Samples were fried at 150, 160, 170, 180, and 190°C for 5, 7, 9, 11, 13, and 30min. Furan was measured by GC-MS. Corresponding images were acquired and processed to extract 2175 chromatic and textural features. Principal component analysis was used to reduce features to 8-12 principal components. In parallel, sequential forward selection coupled with linear discriminant analysis (LDA) was the best strategy to select only 5-7 features...
January 15, 2018: Food Chemistry
https://www.readbyqxmd.com/read/28864824/automatic-categorization-and-scoring-of-solid-part-solid-and-non-solid-pulmonary-nodules-in-ct-images-with-convolutional-neural-network
#6
Xiaoguang Tu, Mei Xie, Jingjing Gao, Zheng Ma, Daiqiang Chen, Qingfeng Wang, Samuel G Finlayson, Yangming Ou, Jie-Zhi Cheng
We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-solid and non-solid nodules in pulmonary computerized tomography images using a Convolutional Neural Network (CNN). Provided with only a two-dimensional region of interest (ROI) surrounding each nodule, our CNN automatically reasons from image context to discover informative computational features. As a result, no image segmentation processing is needed for further analysis of nodule attenuation, allowing our system to avoid potential errors caused by inaccurate image processing...
September 1, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28859140/data-augmentation-assisted-deep-learning-of-hand-drawn-partially-colored-sketches-for-visual-search
#7
Jamil Ahmad, Khan Muhammad, Sung Wook Baik
In recent years, image databases are growing at exponential rates, making their management, indexing, and retrieval, very challenging. Typical image retrieval systems rely on sample images as queries. However, in the absence of sample query images, hand-drawn sketches are also used. The recent adoption of touch screen input devices makes it very convenient to quickly draw shaded sketches of objects to be used for querying image databases. This paper presents a mechanism to provide access to visual information based on users' hand-drawn partially colored sketches using touch screen devices...
2017: PloS One
https://www.readbyqxmd.com/read/28858647/hair-segmentation-using-adaptive-threshold-from-edge-and-branch-length-measures
#8
Ian Lee, Xian Du, Brian Anthony
BACKGROUND: Non-invasive imaging techniques allow the monitoring of skin structure and diagnosis of skin diseases in clinical applications. However, hair in skin images hampers the imaging and classification of the skin structure of interest. Although many hair segmentation methods have been proposed for digital hair removal, a major challenge in hair segmentation remains in detecting hairs that are thin, overlapping, of similar contrast or color to underlying skin, or overlaid on highly-textured skin structure...
August 24, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28839439/outcomes-of-preoperative-endoscopic-nasobiliary-drainage-and-endoscopic-retrograde-biliary-drainage-for-malignant-distal-biliary-obstruction-prior-to-pancreaticoduodenectomy
#9
Guo-Qiang Zhang, Yong Li, Yu-Ping Ren, Nan-Tao Fu, Hai-Bing Chen, Jun-Wu Yang, Wei-Dong Xiao
AIM: To compare the outcomes of preoperative endoscopic nasobiliary drainage (ENBD) and endoscopic retrograde biliary drainage (ERBD) in patients with malignant distal biliary obstruction prior to pancreaticoduodenectomy (PD). METHODS: Data from 153 consecutive patients who underwent preoperative endoscopic biliary drainage prior to PD between January 2009 and July 2016 were analyzed. We compared the clinical data, procedure-related complications of endoscopic biliary drainage (EBD) and postoperative complications of PD between the ENBD and ERBD groups...
August 7, 2017: World Journal of Gastroenterology: WJG
https://www.readbyqxmd.com/read/28839156/diagnostic-classification-of-solitary-pulmonary-nodules-using-dual-time-18-f-fdg-pet-ct-image-texture-features-in-granuloma-endemic-regions
#10
Song Chen, Stephanie Harmon, Timothy Perk, Xuena Li, Meijie Chen, Yaming Li, Robert Jeraj
Lung cancer, the most commonly diagnosed cancer worldwide, usually presents as solid pulmonary nodules (SPNs) on early diagnostic images. Classification of malignant disease at this early timepoint is critical for improving the success of surgical resection and increasing 5-year survival rates. (18)F-fluorodeoxyglucose ((18)F-FDG) PET/CT has demonstrated value for SPNs diagnosis with high sensitivity to detect malignant SPNs, but lower specificity in diagnosing malignant SPNs in populations with endemic infectious lung disease...
August 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28837046/association-between-pathology-and-texture-features-of-multi-parametric-mri-of-the-prostate
#11
Peter Kuess, Piotr Andrzejewski, David Nilsson, Petra Georg, Johannes Knoth, Martin Susani, Johan Trygg, Thomas H Helbich, Stephan H Polanec, Dietmar Georg, Tufve Nyholm
The role of multi-parametric (mp)MRI in the diagnosis and treatment of prostate cancer has increased considerably. An alternative to visual inspection of mpMRI is the evaluation using histogram-based (first order statistics) parameters and textural features (second order statistics). The aims of the present work were to investigate the relationship between benign and malignant sub-volumes of the prostate and textures obtained from mpMR images. The performance of tumor prediction was investigated based on the combination of histogram-based and textural parameters...
August 24, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28831345/characterization-of-the-capsule-surrounding-smooth-and-textured-tissue-expanders-and-correlation-with-contracture
#12
Erika Kuriyama, Hiroko Ochiai, Yoshikazu Inoue, Yoshiaki Sakamoto, Naoki Yamamoto, Toshiaki Utsumi, Kazuo Kishi, Takayuki Okumoto, Akihiro Matsuura
Capsular contracture is a common complication after breast augmentation surgery. This study pathologically evaluated the soft-tissue response to surface modifications in both smooth and textured tissue expander prostheses. METHODS: Smooth tissue expanders and textured tissue expanders in 5 cases each were used for breast reconstruction after mastectomy. Histological samples were harvested from the capsules when the tissue expanders were replaced by silicone implants. Collagen orientation and cellular responses were assessed histologically...
July 2017: Plastic and Reconstructive Surgery. Global Open
https://www.readbyqxmd.com/read/28809709/a-new-method-for-automatic-sleep-stage-classification
#13
Junming Zhang, Yan Wu
Traditionally, automatic sleep stage classification is quite a challenging task because of the difficulty in translating open-textured standards to mathematical models and the limitations of handcrafted features. In this paper, a new system for automatic sleep stage classification is presented. Compared with existing sleep stage methods, our method can capture the sleep information hidden inside electroencephalography (EEG) signals and automatically extract features from raw data. To translate open sleep stage standards into machine rules recognized by computers, a new model named fast discriminative complex-valued convolutional neural network (FDCCNN) is proposed to extract features from raw EEG data and classify sleep stages...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28809096/pancreatico-jejunostomy-decreases-post-operative-pancreatic-fistula-incidence-and-severity-after-central-pancreatectomy
#14
Frédéric Borel, Mehdi Ouaissi, Aude Merdrignac, Aurelien Venara, Valéria De Franco, Laurent Sulpice, Antoine Hamy, Nicolas Regenet
BACKGROUNDS: Central pancreatectomy (CP) is an alternative to pancreaticoduodenectomy and distal pancreatectomy in benign tumours of pancreatic isthmus management. It is known for a high post-operative pancreatic fistula (POPF) rate. The purpose of this study was to compare POPF incidence between pancreatico-jejunostomy (PJ) and pancreatico-gastrostomy (PG). METHODS: Fifty-eight patients (mean age 53.9 ± 1.9 years) who underwent a CP in four French University Hospitals from 1988 to 2011 were analysed...
August 15, 2017: ANZ Journal of Surgery
https://www.readbyqxmd.com/read/28807589/differences-in-texture-analysis-parameters-between-active-alveolitis-and-lung-fibrosis-in-chest-ct-of-patients-with-systemic-sclerosis-a-feasibility-study
#15
Christopher Kloth, Anya C Blum, Wolfgang M Thaiss, Heike Preibsch, Hendrik Ditt, Rainer Grimmer, Jan Fritz, Konstantin Nikolaou, Hans Bösmüller, Marius Horger
RATIONALE AND OBJECTIVES: This study aimed to determine the diagnostic aid of computed tomography (CT) features for the differentiation of active alveolitis and fibrosis using a CT texture analysis (CTTA) prototype and CT densitometry in patients with systemic sclerosis (SSc) using ancillary high-resolution computed tomography (HRCT) features and their longitudinal course as standard of reference. MATERIALS AND METHODS: We retrospectively analyzed thin-slice noncontrast chest CT image data of 43 patients with SSc (18 men, mean age 51...
August 11, 2017: Academic Radiology
https://www.readbyqxmd.com/read/28802329/skin-lesion-computational-diagnosis-of-dermoscopic-images-ensemble-models-based-on-input-feature-manipulation
#16
Roberta B Oliveira, Aledir S Pereira, João Manuel R S Tavares
BACKGROUND AND OBJECTIVES: The number of deaths worldwide due to melanoma has risen in recent times, in part because melanoma is the most aggressive type of skin cancer. Computational systems have been developed to assist dermatologists in early diagnosis of skin cancer, or even to monitor skin lesions. However, there still remains a challenge to improve classifiers for the diagnosis of such skin lesions. The main objective of this article is to evaluate different ensemble classification models based on input feature manipulation to diagnose skin lesions...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28801168/please-don-t-move-evaluating-motion-artifact-from-peripheral-quantitative-computed-tomography-scans-using-textural-features
#17
Timo Rantalainen, Paola Chivers, Belinda R Beck, Sam Robertson, Nicolas H Hart, Sophia Nimphius, Benjamin K Weeks, Fleur McIntyre, Beth Hands, Aris Siafarikas
Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible to motion artifacts particularly in fidgety pediatric populations. Methods currently used to address motion artifact include manual screening (visual inspection) and objective assessments of the scans. However, previously reported objective methods either cannot be applied on the reconstructed image or have not been tested for distal bone sites. Therefore, the purpose of the present study was to develop and validate motion artifact classifiers to quantify motion artifact in pQCT scans...
August 8, 2017: Journal of Clinical Densitometry
https://www.readbyqxmd.com/read/28768053/textural-pattern-classification-for-oral-squamous-cell-carcinoma
#18
T Y Rahman, L B Mahanta, C Chakraborty, A K DAS, J D Sarma
Despite being an area of cancer with highest worldwide incidence, oral cancer yet remains to be widely researched. Studies on computer-aided analysis of pathological slides of oral cancer contribute a lot to the diagnosis and treatment of the disease. Some researches in this direction have been carried out on oral submucous fibrosis. In this work an approach for analysing abnormality based on textural features present in squamous cell carcinoma histological slides have been considered. Histogram and grey-level co-occurrence matrix approaches for extraction of textural features from biopsy images with normal and malignant cells are used here...
August 2, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28767372/texture-classification-and-visualization-of-time-series-of-gait-dynamics-in-patients-with-neuro-degenerative-diseases
#19
Tuan D Pham
The analysis of gait dynamics is helpful for predicting and improving the quality of life, morbidity, and mortality in neuro-degenerative patients. Feature extraction of physiological time series and classification between gait patterns of healthy control subjects and patients are usually carried out on the basis of one-dimensional signal analysis. The proposed approach presented in this paper departs itself from conventional methods for gait analysis by transforming time series into images, of which texture features can be extracted from methods of texture analysis...
July 27, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28749977/preliminary-research-on-the-identification-system-for-anthracnose-and-powdery-mildew-of-sandalwood-leaf-based-on-image-processing
#20
Chunyan Wu, Xuefeng Wang
This paper presents a survey on a system that uses digital image processing techniques to identify anthracnose and powdery mildew diseases of sandalwood from digital images. Our main objective is researching the most suitable identification technology for the anthracnose and powdery mildew diseases of the sandalwood leaf, which provides algorithmic support for the real-time machine judgment of the health status and disease level of sandalwood. We conducted real-time monitoring of Hainan sandalwood leaves with varying severity levels of anthracnose and powdery mildew beginning in March 2014...
2017: PloS One
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