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 novel method to identify and grade DNA damage on comet images
Medical imaging has become very popular in recent years. It substantially provides convenience for doctors, scientists and users who are interested in medicine field. Thus, applications in medicine field have started to be developed in a fast way. Applications usually show abnormal features, diseases and related parameters using images captured by electronic devices like microscopes. Quality of images has an important role for image processing to obtain and present results with high accuracy. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 8, 2017 Category: Bioinformatics Authors: Muhammed Kamil Turan, Eftal Sehirli Source Type: research

Computer-Aided Prediction of Axillary Lymph Node Status in Breast Cancer Using Tumor Surrounding Tissue Features in Ultrasound Images
In patients with early-stage breast cancer, the presence or absence of axillary lymph node (ALN) metastasis is the most important prognostic factor used in adjuvant therapy decision making [1]. The 5-year survival for patients with node-negative disease is 82.8% compared with 73% for 1 –3 positive nodes, and 45.7% for 4–12 positive nodes [2]. Sentinel node biopsy (SNB) or axillary lymph node dissection (ALND) and histologic examination is considered the standard for axillary evaluation of breast cancers. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - June 2, 2017 Category: Bioinformatics Authors: Woo Kyung Moon, Yan-Wei Lee, Yao-Sian Huang, Su Hyun Lee, Min Sun Bae, Ann Yi, Chiun-Sheng Huang, Ruey-Feng Chang Source Type: research

Enhancing Automatic Closed-Loop Glucose Control in Type 1 Diabetes with an Adaptive Meal Bolus Calculator – In Silico Evaluation under Intra-Day Variability
Type 1 diabetes mellitus (T1DM) is an autoimmune condition characterized by elevated blood glucose levels due to the lack of endogenous insulin production. People with T1DM require exogenous insulin delivery to regulate glucose. Current therapies for T1DM management include the administration of multiple daily injections or continuous insulin infusion with pumps. However, such therapies are still suboptimal and require constant adjustment by the person with T1DM and carers. A closed-loop control system consisting of a continuous glucose sensor, an insulin pump and an algorithm that computes the required insulin dose at any...
Source: Computer Methods and Programs in Biomedicine - June 1, 2017 Category: Bioinformatics Authors: Pau Herrero, Jorge Bondia, Oloruntoba Adewuyi, Peter Pesl, Mohamed El-Sharkawy, Monika Reddy, Chris Toumazou, Nick Oliver, Pantelis Georgiou Source Type: research

Physiological Closed-Loop Control in Intelligent Oxygen Therapy: a review
Oxygen is essential for sustaining human life. Oxygen performs hundreds of tasks in the body, but the two most important are detoxification and energy production. Many diseases affect the lung's ability to transfer of oxygen from the outside air to the bloodstream. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 29, 2017 Category: Bioinformatics Authors: Daniel Sanchez-Morillo, Osama Olaby, MA Fernandez-Granero, Antonio Leon-Jimenez Source Type: research

Quantifying the informativeness for biomedical literature summarization: An itemset mining method
With the fast growth in producing digital text content in the biomedical domain, much effort has been made toward developing automatic tools to alleviate the difficulties of finding relevant information. Notably, clinicians and researchers are often faced with a common problem, i.e. acquiring the intended information from the vast sources of available text documents. The information is obtained from various resources, such as scientific literature databases, clinical trials, Electronic Health Record (EHR) systems, multimedia documents, e-mailed reports, and web documents [1,2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 27, 2017 Category: Bioinformatics Authors: Milad Moradi, Nasser Ghadiri Source Type: research

Editorial Board
(Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 26, 2017 Category: Bioinformatics Source Type: research

Cancer quantification from data mining to artificial intelligence
Computing technologies have been widely used in medicine especially in critical situation such as cancer. Numerous informative data is generated and digitalized day by day. Through computing technologies, the cancer statistics can be established in time and become more informative. Data mining is firstly used in exploring textual information. Using regular expressions and fuzzy searching of relevant keywords can approximate to automatic string matching. Reports are hand-made which shrunk information by subjective opinions and individual considerations. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 26, 2017 Category: Bioinformatics Authors: Chung-Ming Lo, Usman Iqbal, Yu-Chuan(Jack) Li Tags: Editorial Source Type: research

Computer-aided diagnosis of periapical cyst and keratocystic odontogenic tumor on cone beam computed tomography
Oral diagnostic radiology comprises a sub-branch of dentistry relating to information needed for treatment planning for dental diseases. Oral examination may not always be sufficient for the diagnosis of dental disease. Therefore, during the dental examination, radiological imaging methods are utilized to assist in the examination of invisible intrabony regions. Dental images can be obtained via periapical radiography, panoramic radiography, and cone beam computed tomography (CBCT) [1]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 26, 2017 Category: Bioinformatics Authors: E. Yilmaz, T. Kayikcioglu, S. Kayipmaz Source Type: research

Sequence based predictor for discrimination of Enhancer and their Types by applying general form of Chou's Trinucleotide Composition
During early embryonic development, multicellular organisms arise from a single fertilized egg. Owing to expression of different genes, the cells and organs acquire different shapes and functions. The first step in gene expression is transcription, which is carried out by RNA polymerase-II by binding with the promoter region of DNA [1]. Cis-acting regulatory DNA elements, such as promoters (CRMs), enhancers and silencers, control the process of gene expression in a specific and precise way. Precise mapping of these DNA elements is essential for comprehension the gene expression pattern of diseased as well as healthy cells....
Source: Computer Methods and Programs in Biomedicine - May 26, 2017 Category: Bioinformatics Authors: Muhammad Tahir, Maqsood Hayat, Muhammad Kabir Source Type: research

A PCA Aided Cross-Covariance Scheme for Discriminative Feature Extraction from EEG Signals
Brain-Computer Interface (BCI) is a communication system that provides a direct communication channel for transmitting messages from the human brain to computers by analyzing the brain ’s mental activities [1]. Electroencephalogram (EEG) is widely used for the acquisition of brain signals in BCI systems, as it is non-invasive and has excellent temporal resolution [2,3]. Non-invasive BCI systems make the use of EEG signals to translate a subject’s thought or intention into a co ntrol signal that allows a subject, such as a disabled person, to communicate with a device, such as a computer, a wheelchair or a neuroprosthes...
Source: Computer Methods and Programs in Biomedicine - May 24, 2017 Category: Bioinformatics Authors: Roozbeh Zarei, Jing He, Siuly Siuly, Yanchun Zhang Source Type: research

Continuous detection of human fall using multimodal features from Kinect sensors in scalable environment
Detecting abnormal human activities in daily life such as falling down is an important research topic in ambient assisted living [1,2]. Current commercialized solutions based on wearable sensors (e.g., accelerometer, gyroscope) are highly preferred by biomedical engineers and doctors [3 –6]. However, these approaches usually generate too many false alarms due to the lack of capacities of context understanding and informative features. Other approaches rely upon ambient sensors where cameras are the most suited. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 24, 2017 Category: Bioinformatics Authors: Thanh-Hai Tran, Thi-Lan Le, Van-Nam Hoang, Hai Vu Source Type: research

Support for Taverna Workflows in the VPH-Share Cloud Platform
As the Virtual Physiological Human (VPH)  [1,2] discipline matures, so do its researchers’ needs to collaborate on tools, models, data and best practices. This evolution goes in hand with the increasing role of cloud computing infrastructures which free researchers from having to procure and maintain their own hardware resources. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 20, 2017 Category: Bioinformatics Authors: Marek Kasztelnik, Ernesto Coto, Marian Bubak, Maciej Malawski, Piotr Nowakowski, Juan Arenas, Alfredo Saglimbeni, Debora Testi, Alejandro F. Frangi Source Type: research

An Intelligent Support System for Automatic Detection of Cerebral Vascular Accidents from Brain CT Images
Cerebral Vascular Accident (CVA), also called stroke, is caused by the interruption of blood supply to the brain, mainly due to a blood vessel blockage (i.e., ischemic), or by a haemorrhagic event. The cut-off of oxygen and nutrients supplies causes brain tissue irreversible damages, if not detected during the first 2-3 hours. Stroke accounted for approximately 1 of every 19 deaths in the United States in 2009, according to [1]. Computed Tomography (CT) is the most commonly used CVA imaging diagnosis modality, available at almost all emergency units. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 20, 2017 Category: Bioinformatics Authors: Elmira Hajimani, M.G. Ruano, A.E. Ruano Source Type: research

Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design
Investment casting (IC) is the most widespread technology for dental cast manufacturing, which implies mold and process automation in initial and detailed design. Investment casting or “lost-wax” casting is a precision casting process where the wax patterns are transformed into metal alloys cast. Traditional IC suffers from high tooling investments for producing wax patterns. IC is used in the automotive and aerospace industries, and dentistry for the manufacturing of complex metal shapes. In this process, the shape to be reproduced is formed in wax and coated in a chemically bonded ceramic investment material. (Source...
Source: Computer Methods and Programs in Biomedicine - May 18, 2017 Category: Bioinformatics Authors: Ivan Matin, Miodrag Hadzistevic, Djordje Vukelic, Michal Potran, Tomaz Brajlih Source Type: research

A Fourth order PDE based Fuzzy C- Means approach for Segmentation of Microscopic biopsy images in presence of Poisson noise for cancer detection
Cancer is a leading health problem in the most part of the world. Majority of new cases of breast, prostate, lungs, and colorectal cancer are estimated continuously. Segmentation of microscopic biopsy images for cancer detection is a typical task due to its complex nature. The cellular components of the microscopic biopsy images are segmented on the basis of intensity, color, shape, and texture features. The microscopic biopsy has several segmentation issues and challenges like high quality segmentation with low computational cost, accurate segmentation of cells and nuclei. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - May 15, 2017 Category: Bioinformatics Authors: Rajesh Kumar, Subodh Srivastava, Rajeev Srivastava Source Type: research