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https://www.readbyqxmd.com/read/28809709/a-new-method-for-automatic-sleep-stage-classification
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
https://www.readbyqxmd.com/read/28749365/discriminative-joint-feature-topic-model-with-dual-constraints-for-wce-classification
#9
Yixuan Yuan, Xiwen Yao, Junwei Han, Lei Guo, Max Q-H Meng
Wireless capsule endoscopy (WCE) enables clinicians to examine the digestive tract without any surgical operations, at the cost of a large amount of images to be analyzed. The main challenge for automatic computer-aided diagnosis arises from the difficulty of robust characterization of these images. To tackle this problem, a novel discriminative joint-feature topic model (DJTM) with dual constraints is proposed to classify multiple abnormalities in WCE images. We first propose a joint-feature probabilistic latent semantic analysis (PLSA) model, where color and texture descriptors extracted from same image patches are jointly modeled with their conditional distributions...
July 25, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28748524/the-effects-of-segmentation-algorithms-on-the-measurement-of-18-f-fdg-pet-texture-parameters-in-non-small-cell-lung-cancer
#10
Usman Bashir, Gurdip Azad, Muhammad Musib Siddique, Saana Dhillon, Nikheel Patel, Paul Bassett, David Landau, Vicky Goh, Gary Cook
BACKGROUND: Measures of tumour heterogeneity derived from 18-fluoro-2-deoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) scans are increasingly reported as potential biomarkers of non-small cell lung cancer (NSCLC) for classification and prognostication. Several segmentation algorithms have been used to delineate tumours, but their effects on the reproducibility and predictive and prognostic capability of derived parameters have not been evaluated. The purpose of our study was to retrospectively compare various segmentation algorithms in terms of inter-observer reproducibility and prognostic capability of texture parameters derived from non-small cell lung cancer (NSCLC) (18)F-FDG PET/CT images...
December 2017: EJNMMI Research
https://www.readbyqxmd.com/read/28737267/appearance-and-characterization-of-fruit-image-textures-for-quality-sorting-using-wavelet-transform-and-genetic-algorithms
#11
Suchitra Khoje
Images of four qualities of mangoes and guavas are evaluated for color and textural features to characterize and classify them, and to model the fruit appearance grading. The paper discusses three approaches to identify most discriminating texture features of both the fruits. In the first approach, fruit's color and texture features are selected using Mahalanobis distance. A total of 20 color features and 40 textural features are extracted for analysis. Using Mahalanobis distance and feature intercorrelation analyses, one best color feature (mean of a* [L*a*b* color space]) and two textural features (energy a*, contrast of H*) are selected as features for Guava while two best color features (R std, H std) and one textural features (energy b*) are selected as features for mangoes with the highest discriminate power...
July 24, 2017: Journal of Texture Studies
https://www.readbyqxmd.com/read/28734525/classification-of-cardiovascular-tissues-using-lbp-based-descriptors-and-a-cascade-svm
#12
Claudia Mazo, Enrique Alegre, Maria Trujillo
BACKGROUND AND OBJECTIVE: Histological images have characteristics, such as texture, shape, colour and spatial structure, that permit the differentiation of each fundamental tissue and organ. Texture is one of the most discriminative features. The automatic classification of tissues and organs based on histology images is an open problem, due to the lack of automatic solutions when treating tissues without pathologies. METHOD: In this paper, we demonstrate that it is possible to automatically classify cardiovascular tissues using texture information and Support Vector Machines (SVM)...
August 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28731432/multivariate-approach-for-alzheimer-s-disease-detection-using-stationary-wavelet-entropy-and-predator-prey-particle-swarm-optimization
#13
Yudong Zhang, Shuihua Wang, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, Juan Manuel Gorriz
BACKGROUND: The number of patients with Alzheimer's disease is increasing rapidly every year. Scholars often use computer vision and machine learning methods to develop an automatic diagnosis system. OBJECTIVE: In this study, we developed a novel machine learning system that can make diagnoses automatically from brain magnetic resonance images. METHODS: First, the brain imaging was processed, including skull stripping and spatial normalization...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28727286/using-cell-nuclei-features-to-detect-colon-cancer-tissue-in-hematoxylin-and-eosin-stained-slides
#14
Alex Skovsbo Jørgensen, Anders Munk Rasmussen, Niels Kristian Mäkinen Andersen, Simon Kragh Andersen, Jonas Emborg, Rasmus Røge, Lasse Riis Østergaard
Currently, diagnosis of colon cancer is based on manual examination of histopathological images by a pathologist. This can be time consuming and interpretation of the images is subject to inter- and intra-observer variability. This may be improved by introducing a computer-aided diagnosis (CAD) system for automatic detection of cancer tissue within whole slide hematoxylin and eosin (H&E) stains. Cancer disrupts the normal control mechanisms of cell proliferation and differentiation, affecting the structure and appearance of the cells...
July 20, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28715442/combining-random-forest-with-multi-block-local-binary-pattern-feature-selection-for-multiclass-head-pose-estimation
#15
Min-Joo Kang, Jung-Kyung Lee, Je-Won Kang
A new head pose estimation technique based on Random Forest (RF) and texture features for facial image analysis using a monocular camera is proposed in this paper, especially about how to efficiently combine the random forest and the features. In the proposed technique a randomized tree with useful attributes is trained to improve estimation accuracy and tolerance of occlusions and illumination. Specifically, a number of features including Multi-scale Block Local Block Pattern (MB-LBP) are extracted from an image, and random features such as the MB-LBP scale parameters, a block coordinate, and a layer of an image pyramid in the feature pool are used for training the tree...
2017: PloS One
https://www.readbyqxmd.com/read/28712700/radiomic-analysis-of-dce-mri-for-prediction-of-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients
#16
Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li
OBJECTIVES: To enhance the accurate prediction of the response to neoadjuvant chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic enhancement magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A dataset of 57 cancer patients with breast DCE-MR images acquired before NAC was used. Among them, 47 patients were Responders, and 10 patients were non-Responders based on the RECIST criteria. The breast regions were segmented on the MR images, and a total of 158 radiomic features were computed to represent the morphologic, dynamic, and the texture of the tumors as well as the background parenchymal features...
June 28, 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28707546/a-computer-aided-diagnosis-cad-scheme-for-pretreatment-prediction-of-pathological-response-to-neoadjuvant-therapy-using-dynamic-contrast-enhanced-mri-texture-features
#17
Valentina Giannini, Simone Mazzetti, Agnese Marmo, Filippo Montemurro, Daniele Regge, Laura Martincich
OBJECTIVES: To assess whether a computer aided diagnosis (CAD) system can predict pathological response (pCR) to neoadjuvant chemotherapy (NAC) prior to treatment using texture features. MATERIALS AND METHODS: Response to treatment of 44 patients was defined according to the histopatology of resected tumour and extracted axillary nodes in two ways: a) pCR+ (Smith's grade=5) vs pCR- (Smith's grade<5); b) pCRN+ (pCR+ and absence of residual lymph node metastases) vs pCRN-...
July 14, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/28705145/texture-based-classification-of-different-single-liver-lesion-based-on-spair-t2w-mri-images
#18
Zhenjiang Li, Yu Mao, Wei Huang, Hongsheng Li, Jian Zhu, Wanhu Li, Baosheng Li
BACKGROUND: To assess the feasibility of texture analysis (TA) based on spectral attenuated inversion-recovery T2 weighted magnetic resonance imaging (SPAIR T2W-MRI) for the classification of hepatic hemangioma (HH), hepatic metastases (HM) and hepatocellular carcinoma (HCC). METHODS: The SPAIR T2W-MRI data of 162 patients with HH (n=55), HM (n=67) and HCC (n=40) were retrospectively analyzed. We used two independent cohorts for training (n = 112 patients) and validation (n = 50 patients)...
July 13, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28703115/incidental-diagnosis-of-the-tall-cell-variant-of-the-papillary-microcarcinoma-of-the-thyroid-gland-requires-completion-lymphadenectomy-case-report
#19
I Bartella, F Meyer, K Frauenschläger, K Reschke, Th Wallbaum, B Buth, C Bruns, C Chiapponi
Papillary thyroid carcinoma is the most common neoplasm of the thyroid gland which is usually associated with a very good prognosis. The aim of this case report is to present the disease course of a rare tumor of the thyroid gland, which is worthwhile due to its extraordinary appearance and specific management. A 46-year-old patient presented with a pronounced right-sided, but bilateral, multinodular goiter, with a volume of approximately 80 mL, as assessed on ultrasonography. Surgical removal was indicated as scintigraphy showed a 4-cm cold nodule that almost completely took up the right thyroid lobe...
June 30, 2017: Polski Przeglad Chirurgiczny
https://www.readbyqxmd.com/read/28700903/computer-based-classification-of-chromoendoscopy-images-using-homogeneous-texture-descriptors
#20
Hussam Ali, Muhammad Sharif, Mussarat Yasmin, Mubashir Husain Rehmani
Computer-aided analysis of clinical pathologies is a challenging task in the field of medical imaging. Specifically, the detection of abnormal regions in the frames collected during an endoscopic session is difficult. The variations in the conditions of image acquisition, such as field of view or illumination modification, make it more demanding. Therefore, the design of a computer-assisted diagnostic system for the recognition of gastric abnormalities requires features that are robust to scale, rotation, and illumination variations of the images...
July 5, 2017: Computers in Biology and Medicine
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