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Computer Methods and Programs in Biomedicine

Chung-Ming Lo, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
July 2017: Computer Methods and Programs in Biomedicine
E Yilmaz, T Kayikcioglu, S Kayipmaz
BACKGROUND AND OBJECTIVES: In this article, we propose a decision support system for effective classification of dental periapical cyst and keratocystic odontogenic tumor (KCOT) lesions obtained via cone beam computed tomography (CBCT). CBCT has been effectively used in recent years for diagnosing dental pathologies and determining their boundaries and content. Unlike other imaging techniques, CBCT provides detailed and distinctive information about the pathologies by enabling a three-dimensional (3D) image of the region to be displayed...
July 2017: Computer Methods and Programs in Biomedicine
Milad Moradi, Nasser Ghadiri
OBJECTIVE: Automatic text summarization tools can help users in the biomedical domain to access information efficiently from a large volume of scientific literature and other sources of text documents. In this paper, we propose a summarization method that combines itemset mining and domain knowledge to construct a concept-based model and to extract the main subtopics from an input document. Our summarizer quantifies the informativeness of each sentence using the support values of itemsets appearing in the sentence...
July 2017: Computer Methods and Programs in Biomedicine
Muhammad Tahir, Maqsood Hayat, Muhammad Kabir
BACKGROUND AND OBJECTIVES: Enhancers are pivotal DNA elements, which are widely used in eukaryotes for activation of transcription genes. On the basis of enhancer strength, they are further classified into two groups; strong enhancers and weak enhancers. Due to high availability of huge amount of DNA sequences, it is needed to develop fast, reliable and robust intelligent computational method, which not only identify enhancers but also determines their strength. Considerable progress has been achieved in this regard; however, timely and precisely identification of enhancers is still a challenging task...
July 2017: Computer Methods and Programs in Biomedicine
Rajesh Kumar, Subodh Srivastava, Rajeev Srivastava
BACKGROUND AND OBJECTIVE: For cancer detection from microscopic biopsy images, image segmentation step used for segmentation of cells and nuclei play an important role. Accuracy of segmentation approach dominate the final results. Also the microscopic biopsy images have intrinsic Poisson noise and if it is present in the image the segmentation results may not be accurate. The objective is to propose an efficient fuzzy c-means based segmentation approach which can also handle the noise present in the image during the segmentation process itself i...
July 2017: Computer Methods and Programs in Biomedicine
Roozbeh Zarei, Jing He, Siuly Siuly, Yanchun Zhang
BACKGROUND AND OBJECTIVES: Feature extraction of EEG signals plays a significant role in Brain-computer interface (BCI) as it can significantly affect the performance and the computational time of the system. The main aim of the current work is to introduce an innovative algorithm for acquiring reliable discriminating features from EEG signals to improve classification performances and to reduce the time complexity. METHODS: This study develops a robust feature extraction method combining the principal component analysis (PCA) and the cross-covariance technique (CCOV) for the extraction of discriminatory information from the mental states based on EEG signals in BCI applications...
July 2017: Computer Methods and Programs in Biomedicine
Marek Kasztelnik, Ernesto Coto, Marian Bubak, Maciej Malawski, Piotr Nowakowski, Juan Arenas, Alfredo Saglimbeni, Debora Testi, Alejandro F Frangi
BACKGROUND AND OBJECTIVE: To address the increasing need for collaborative endeavours within the Virtual Physiological Human (VPH) community, the VPH-Share collaborative cloud platform allows researchers to expose and share sequences of complex biomedical processing tasks in the form of computational workflows. The Taverna Workflow System is a very popular tool for orchestrating complex biomedical & bioinformatics processing tasks in the VPH community. This paper describes the VPH-Share components that support the building and execution of Taverna workflows, and explains how they interact with other VPH-Share components to improve the capabilities of the VPH-Share platform...
July 2017: Computer Methods and Programs in Biomedicine
Ivan Matin, Miodrag Hadzistevic, Djordje Vukelic, Michal Potran, Tomaz Brajlih
BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the problems using an expert system. Despite substantial research progress in the design of experts systems for the simulation model design and manufacturing have insufficiently considered the specifics of casting in dentistry, especially the need for further CAD, RE, CAE for the estimation of casting parameters and the control of the casting machine...
July 2017: Computer Methods and Programs in Biomedicine
Natalie R Davidson, Keith R Godfrey, Faisal Alquaddoomi, David Nola, Joseph J DiStefano
No abstract text is available yet for this article.
July 2017: Computer Methods and Programs in Biomedicine
Thanh-Hai Tran, Thi-Lan Le, Van-Nam Hoang, Hai Vu
BACKGROUND AND OBJECTIVES: Automatic detection of human fall is a key problem in video surveillance and home monitoring. Existing methods using unimodal data (RGB / depth / skeleton) may suffer from the drawbacks of inadequate lighting condition or unreliability. Besides, most of proposed methods are constrained to a small space with off-line video stream. METHODS: In this study, we overcome these encountered issues by combining multi-modal features (skeleton and RGB) from Kinect sensor to take benefits of each data characteristic...
July 2017: Computer Methods and Programs in Biomedicine
Woo Kyung Moon, Yan-Wei Lee, Yao-Sian Huang, Su Hyun Lee, Min Sun Bae, Ann Yi, Chiun-Sheng Huang, Ruey-Feng Chang
BACKGROUND AND OBJECTIVE: The presence or absence of axillary lymph node (ALN) metastasis is the most important prognostic factor for patients with early-stage breast cancer. In this study, a computer-aided prediction (CAP) system using the tumor surrounding tissue features in ultrasound (US) images was proposed to determine the ALN status in breast cancer. METHODS: The US imaging database used in this study contained 114 cases of invasive breast cancer and 49 of them were ALN metastasis...
July 2017: Computer Methods and Programs in Biomedicine
Hanie Moghaddasi, Farshad Almasganj, Arezoo Zoroufian
BACKGROUND AND OBJECTIVES: Heart disease is one of the leading causes of death around the world. Phonocardiogram (PCG) is an important bio-signal which represents the acoustic activity of heart, typically without any spatiotemporal information of the involved acoustic sources. The aim of this study is to analyze the PCG by employing a microphone array by which the heart internal sound sources could be localized, too. METHOD: In this paper, it is intended to propose a modality by which the locations of the active sources in the heart could also be investigated, during a cardiac cycle...
July 2017: Computer Methods and Programs in Biomedicine
Pau Herrero, Jorge Bondia, Oloruntoba Adewuyi, Peter Pesl, Mohamed El-Sharkawy, Monika Reddy, Chris Toumazou, Nick Oliver, Pantelis Georgiou
BACKGROUND AND OBJECTIVE: Current prototypes of closed-loop systems for glucose control in type 1 diabetes mellitus, also referred to as artificial pancreas systems, require a pre-meal insulin bolus to compensate for delays in subcutaneous insulin absorption in order to avoid initial post-prandial hyperglycemia. Computing such a meal bolus is a challenging task due to the high intra-subject variability of insulin requirements. Most closed-loop systems compute this pre-meal insulin dose by a standard bolus calculation, as is commonly found in insulin pumps...
July 2017: Computer Methods and Programs in Biomedicine
Murad Al-Rajab, Joan Lu, Qiang Xu
BACKGROUND AND OBJECTIVES: This paper examines the accuracy and efficiency (time complexity) of high performance genetic data feature selection and classification algorithms for colon cancer diagnosis. The need for this research derives from the urgent and increasing need for accurate and efficient algorithms. Colon cancer is a leading cause of death worldwide, hence it is vitally important for the cancer tissues to be expertly identified and classified in a rapid and timely manner, to assure both a fast detection of the disease and to expedite the drug discovery process...
July 2017: Computer Methods and Programs in Biomedicine
Elmira Hajimani, M G Ruano, A E Ruano
OBJECTIVE: This paper presents a Radial Basis Functions Neural Network (RBFNN) based detection system, for automatic identification of Cerebral Vascular Accidents (CVA) through analysis of Computed Tomographic (CT) images. METHODS: For the design of a neural network classifier, a Multi Objective Genetic Algorithm (MOGA) framework is used to determine the architecture of the classifier, its corresponding parameters and input features by maximizing the classification precision, while ensuring generalization...
July 2017: Computer Methods and Programs in Biomedicine
Daniel Sanchez-Morillo, Osama Olaby, Miguel Angel Fernandez-Granero, Antonio Leon-Jimenez
BACKGROUND AND OBJECTIVE: Oxygen therapy has become a standard care for the treatment of patients with chronic obstructive pulmonary disease and other hypoxemic chronic lung diseases. In current systems, manually continuous adjustment of O2 flow rate is a time-consuming task, often unsuccessful, that requires experienced staff. The primary aim of this systematic review is to collate and report on the principles, algorithms and accuracy of autonomous physiological close-loop controlled oxygen devices as well to present recommendations for future research and studies in this area...
July 2017: Computer Methods and Programs in Biomedicine
Noreen Sher Akbar, Adil Wahid Butt, Dharmendra Tripathi
BACKGROUND AND OBJECTIVES: This paper aims to investigate the unsteady flow of two types of nanofluids i.e Copper water nanofluids and Silver water nanofluids) through finite length non-uniform channel driven by peristaltic sinusoidal wave propagations. METHODS: The governing equations are reduced in linear form using dimensional analysis and considering the low Reynolds number and large wavelength approximations. The time dependent temperature field, axial velocity, transverse velocity and pressure difference are obtained analytically in closed form solution...
July 2017: Computer Methods and Programs in Biomedicine
Chung-Ming Lo, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
July 2017: Computer Methods and Programs in Biomedicine
Malihe Sabeti, Reza Boostani
Synchronous averaging over time locked single-trial of event-related potential (ERP) is known as the simplest scheme to extract P300 component. This method assumes the P300 features are invariant through the time while they are affected by factors like brain fatigue and habitation. In this study, a new scheme is proposed termed as time-varying time-lag blind source separation (TT-BSS) which is upon the second order statistics of signal to separate P300 waveform from the background electroencephalogram (EEG) while it captures the time variation of P300 component...
July 2017: Computer Methods and Programs in Biomedicine
Saeid Asgari Taghanaki, Jeremy Kawahara, Brandon Miles, Ghassan Hamarneh
BACKGROUND AND OBJECTIVE: Feature reduction is an essential stage in computer aided breast cancer diagnosis systems. Multilayer neural networks can be trained to extract relevant features by encoding high-dimensional data into low-dimensional codes. Optimizing traditional auto-encoders works well only if the initial weights are close to a proper solution. They are also trained to only reduce the mean squared reconstruction error (MRE) between the encoder inputs and the decoder outputs, but do not address the classification error...
July 2017: Computer Methods and Programs in Biomedicine
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