Computer Methods and Programs in Biomedicine This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A software program to measure the three-dimensional length of the spine from radiographic images: validation and reliability assessment for adolescent idiopathic scoliosis
The aim of this study was to validate a new program which aims at measuring the three-dimensional length of the spine's midline based on two calibrated orthogonal radiographic images. The traditional uniplanar T1-S1 measurement method is not reflecting the actual three dimensional curvature of a scoliotic spine and is therefore not accurate. The Spinal Measurement Software (SMS) is an alternative to conveniently measure the true spine's length. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 23, 2016 Category: Bioinformatics Authors: Steve Berger, Carol-Claudius Hasler, Caroline A. Grant, Guoyan Zheng, Steffen Schumann, Philippe B üchler Source Type: research

Automated Diagnosis of Coronary Artery Disease (CAD) Patients Using Optimized SVM
• The purpose of the research is to distinguish CAD and normal subjects.• SVM and PCA are used as the methods of classification.• Nonlinear and frequency domain methods are used for feature extraction.• Signals are used with 24 hours length.• The overall accuracy of the research shows the quality of the classification. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 23, 2016 Category: Bioinformatics Authors: Azam Davari, Siamak Esmael Zadeh Khadem Source Type: research

Classification of CT brain images based on deep learning networks
• A fused CNN architecture achieving classification accuracy rate of 87.62%.• 2D CNN delivers 86.32% precision for the 3 classes of AD, Lesion, Normal.• 2D SIFT and 2D KAZE give accuracy rates of 85.61% and 86.31% respectively.• 3D SIFT and 3D KAZE achieve accuracy rates of 85.26% and 83.15% respectively. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 19, 2016 Category: Bioinformatics Authors: Xiaohong W. Gao, Rui Hui, Zengmin Tian Source Type: research

Automated classification of Pap smear images to detect cervical dysplasia
• An automated Pap smear classifier is proposed to detect cervical dysplasia.• Study performed on both cell as well as smear level.• 1610 single cell and 1320 complete indigenous samples were collected to perform this study.• Analysis is being performed on Shape, Texture and Colour features which includes 121 total numbers of features.• An ensemble classifier is designed using Least Square Support Vector Machine, Multilayer Perceptron's and Random Forest using weighted majority voting.• Samples are divided into two and three classes which will reflect the established Bethesda patho logical classification of cer...
Source: Computer Methods and Programs in Biomedicine - October 18, 2016 Category: Bioinformatics Authors: Kangkana Bora, Manish Chowdhury, Lipi B Mahanta, Malay Kumar Kundu, Anup Kumar Das Source Type: research

A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts
Long-term longitudinal studies often encounter data attrition because subjects may drop out or die before the study ends. Informative dropout due to competing risks is a critical aspect that should be taken into account when analyzing these data. For example, in the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS), studying risk factors for cognitive decline is a primary interest [1,2]. Cognitive function assessments were repeatedly measured on available participants over a 20 year study period, but many participants' cognitive function measurements were unavailable due to preceding dementia and/or death...
Source: Computer Methods and Programs in Biomedicine - October 17, 2016 Category: Bioinformatics Authors: Wei Wang, Wanmei Wang, Thomas H. Mosley, Michael E. Griswold Source Type: research

A SAS macro for the joint modelling of longitudinal outcomes and multiple competing risk dropouts
• A SAS macro implementation of a shared parameter model for a longitudinal outcome and multiple cause-specific dropouts.• The submodel for the longitudinal outcome takes the linear mixed effects model form, with the random intercept and/or random slope specifications.• The survival submodel a llows up to three different competing causes for dropout.• Simulation study shows the unbiased parameter estimates when informative dropout exists. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 17, 2016 Category: Bioinformatics Authors: Wei Wang, Wanmei Wang, Thomas H. Mosley, Michael E. Griswold Source Type: research

EEG epochs with less alpha rhythm improve discrimination of mild alzheimer's
• This is the first resting-state awake Alzheimer's Disease (AD) EEG study reporting the influence of Alpha Rhythm (AR) on epoch selection.• We suggest herein a detailed epoch selection method and we compare EEG epochs with more and with less AR of AD patients and healthy elderly controls.• Th e main finding was that EEG epochs with less occipital alpha activity are much better to discriminate mild AD patients from controls. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 17, 2016 Category: Bioinformatics Authors: Francisco J. Fraga, Eliezyer F. Oliveira, Paulo A.M. Kanda Source Type: research

Individual tooth segmentation from CT images scanned with contacts of maxillary and mandible teeth
This study proposes a novel method to segment individual tooth from dental CT images scanned with contacts of maxillary and mandible teeth.• The Radon transform is applied to extract a line to separate neighboring teeth into independent ones.• A parameter adaptive selection scheme is develop edto determine the parameters of hybrid level set model adaptively accordingtothe image data.• Contacted maxillary and mandible teeth are separated from reconstructed mesh model using threshold segmentation and fast marching watershed method. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 13, 2016 Category: Bioinformatics Authors: Zeyang Xia, Yangzhou Gan, Lichao Chang, Jing Xiong, Qunfei Zhao Source Type: research

Addressing for 6LoWPAN WBAN
In the real-time patient monitoring scenario, this paper proposes an addressing scheme for 6LoWPAN and the main objective is to shorten the CoA addressing latency and cost. The proposed solution is different from previous ones because it has the following innovations:1) This paper makes a distinction between HoA and CoA, and proposes the addressing algorithms for HoA and CoA, respectively.2) The CoA addressing is achieved based on the HoA addressing, so the CoA addressing latency is shortened.3) A WBAN performs the HoA/CoA addressing algorithm as a unit, so the addressing latency is reduced. (Source: Computer Methods and P...
Source: Computer Methods and Programs in Biomedicine - October 12, 2016 Category: Bioinformatics Authors: Xiaonan Wang, Qi Sun, Dong Wang Source Type: research

Optimizing R with SparkR on a commodity cluster for biomedical research
• R is a popular environment for clinical data analysis. Computational demanding tasks can often be paralelized in computing clusters using the Message Passing Interface.• (MPI) on traditional clusters or the relatively new SparkR variant as part of the Hadoop family.• SparkR allows supporting big data analysis using R even on non-dedicated resources with minimal change to original code. It offers elastic resources and tight integration with Hadoop distributed services for huge files.•Computation in SparkR scales better than with the Message Passing Interface (MPI) due to optimized dat a communication. (Source: Com...
Source: Computer Methods and Programs in Biomedicine - October 10, 2016 Category: Bioinformatics Authors: Martin Sedlmayr, Tobias W ürfl, Christian Maier, Lothar Häberle, Peter Fasching, Hans-Ulrich Prokosch, Jan Christoph Source Type: research

A study on stability analysis of atrial repolarization variability using ARX model in sinus rhythm and atrial tachycardia ECGs
• Analysis of atrial repolarization dynamics in ECG using system identification techniques.• The ARX model is used for studying the PTaI and PPI dynamics.• Analysis of atrial repolarization variability and heart rate variability in healthy and AT subjects. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 9, 2016 Category: Bioinformatics Authors: J. Sivaraman, G. Uma, P. Langley, M. Umapathy, S. Venkatesan, G. Palanikumar Source Type: research

Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms
• Introduction of a framework for quantitative and observer-independent validation of vessel segmentation in the MRA images• Demonstration of a practical application of a custom-designed magnetic resonance angiography simulator as a reliable tool for quantitative validation of vessel segmentatio n algorithms that provides objective and reproducible results.• Development of a realistic digital phantom of an intracranial arterial tree based on a real Time-of-Flight data set.• Performing thorough validation of a level-set vessel segmentation algorithm implemented in the Vascular Modeling T oolkit (VMTK), an open-sourc...
Source: Computer Methods and Programs in Biomedicine - October 5, 2016 Category: Bioinformatics Authors: Artur Klepaczko, Piotr Szczypi ński, Andreas Deistung, Jürgen R. Reichenbach, Andrzej Materka Source Type: research

Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion
• Detection of exudates is important for detection of diabetic retinopathy.• Method based on landmark detection and convolutional network fusion is presented• F1 measure of 0.78 achieved• Easily incorporated in a screening system (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 5, 2016 Category: Bioinformatics Authors: Pavle Prenta šić, Sven Lončarić Source Type: research

Left ventricle segmentation in fetal echocardiography using a multi-texture active appearance model based on the steered Hermite transform
• A novel segmentation method applied to the left ventricle in fetal echocardiography is proposed.• The method consists of a multi-texture AAM scheme based on the steered Hermite transform.• The steered coefficients of the Hermite transform are used for coding the texture patterns of the multi -texture AAM.• An automatic initialization framework is presented to detect the left ventricle position.• The developed method constitutes a valuable tool for assessment of the fetal cardiac function using ultrasound images. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - October 2, 2016 Category: Bioinformatics Authors: Lorena Vargas-Quintero, Boris Escalante-Ram írez, Lisbeth Camargo Marín, Mario Guzmán Huerta, Fernando Arámbula Cosio, Héctor Borboa Olivares Source Type: research

Computational Analysis of Magnetic Effects on Pulsatile Flow of Couple Stress Fluid Through a Bifurcated Artery
• The blood flow through a bifurcated artery with mild stenosis is investigated.• Blood is assumed as couple stress fluid.• Flow rate increased with an increase of all the parameters except for magnetic parameter• Impedance decreased with an increase of all parameters except for magnetic par ameter• Shear stress is increasing with an increase in the values of couple stress fluid parameter• Shear stress decreased with increase of bifurcation angle along the inner wall of daughter artery. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 27, 2016 Category: Bioinformatics Authors: Srinivasacharya D, Madhava Rao G Source Type: research