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.

Hue-Texture-Embedded Region-Based Model for Magnifying Endoscopy with Narrow-Band Imaging Image Segmentation Based on Visual Features
Gastric cancer (GC) was the fourth most common cancer and third-leading cause of cancer death in the world, with 951,000 new cases diagnosed and 723,000 case of death in 2012, and more than 70% cases occurred and died in developing countries (mainly in Eastern Asia) [1,2]. In China, reports estimated that about 420,489 people with gastric cancer have been confirmed in 2011 [3] and 679,100 people in 2015 [4]. In addition, 297,496 Chinese have died from gastric cancer in 2011 [3] and 498,000 Chinese in 2015 [4], in other words, the survival rates were all lower than 40 %. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 13, 2017 Category: Bioinformatics Authors: Xiaoqi Liu, Chengliang Wang, Jianying Bai, Guobin Liao, Yanjun Zhao Source Type: research

Computer-Aided Diagnosis of Liver Tumors on Computed Tomography Images
Liver cancer is the tenth most common cancer and the fifth and ninth most common causes of cancer death in men and women, respectively, in the USA [1]. Many cancers have a high survival rate if detected and treated early [2]. Computed tomography (CT) is one of the most common and robust imaging techniques for the detection of liver tumors [3]. CT provides images of the whole liver through multiphase sequential scans after the injection of contrast media [4]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 13, 2017 Category: Bioinformatics Authors: Chin-Chen Chang, Hong-Hao Chen, Yeun-Chung Chang, Ming-Yang Yang, Chung-Ming Lo, Wei-Chun Ko, Yee-Fan Lee, Kao-Lang Liu, Ruey-Feng Chang Source Type: research

Application of data mining techniques and data analysis methods to measure cancer morbidity and mortality data in a regional cancer registry: The case of the island of Crete, Greece
The objective of the current study is to present how cancer registry data could be processed using data mining techniques in order to improve the statistical analysis outcomes. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 13, 2017 Category: Bioinformatics Authors: Iraklis Varlamis, Ioannis Apostolakis, Dimitra Sifaki-Pistolla, Neelanjan Dey, Vassilios Georgoulias, Christos Lionis Source Type: research

Pareto-Optimal Multi-Objective Dimensionality Reduction Deep Auto-Encoder for Mammography Classification
Although mammography is an effective modality for early breast cancer detection and diagnosis, on mammographic examinations, 10-30% of cancerous/noncancerous lesions may be misinterpreted [1]. To overcome this, computer aided diagnosis (CADx) systems have been developed. The accuracy of CADx for x-ray breast mammography still requires improvements to be useable as a flawless guide (an alert system flagging potential misclassification to the human operator) for radiologists or an independent clinical interpreter [2,3]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 13, 2017 Category: Bioinformatics Authors: Saeid Asgari Taghanki, Jeremy Kawahara, Brandon Miles, Ghassan Hamarneh Source Type: research

Multiple Transmission Optimization of Medical Images in Recourse-Constraint Mobile Telemedicine Systems
With the explosive growth of the number of medical images and the popularity of location-based service (LBS), location- based medical image retrieval and browsing has been paid much attention to recently in mobile telemedicine systems (MTS) [1]. Telemedicine is the use of telecommunication and information technologies to provide clinical health care at a distance. It helps eliminate distance barriers and can improve access to medical services that would often not be consistently available in distant rural communities. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 13, 2017 Category: Bioinformatics Authors: Nan Jiang, Yi Zhuang, Dickson K.W. Chiu Source Type: research

Application of genetic algorithm for hemodialysis schedule optimization
For over half a century, the conventional hemodialysis (HD) schedule of three times a week has been used as the standard modality to treat end-stage renal disease (ESRD) despite the high mortality rate and the poor quality of life. To overcome these drawbacks, an innovative technological changeover that reduces the time and resource consumption, and that provides dialysis treatment at the optimal dose for each individual patient is strongly desired. Therefore, various modalities, such as daily HD, nocturnal HD, and continuous HD treatment, have been developed for ESRD patients and new technologies have been applied in HD. ...
Source: Computer Methods and Programs in Biomedicine - April 8, 2017 Category: Bioinformatics Authors: Jin Woo Choi, Hajeong Lee, Jung Chan Lee, Saram Lee, Yon Su Kim, Hyung-Jin Yoon, Hee Chan Kim Source Type: research

Viral warts (Human Papilloma Virus) as a potential risk for breast cancer among younger females
The role of viruses in the etiology of breast cancer has been acknowledged for over 100 years [1]. Viruses that are associated with human cancer are known as “tumor viruses” or “oncoviruses” and have played an important role in cancer biology [2,3]. It is estimated that viruses may cause approximately 15% of all human cancers [4]. Researchers have explored the relationships between viruses and cancer, such as HBV, HCV and EBV reported as prognost ic factors of cancers [3,5]. This research investigates the association of viral warts (HPV) with the top 10 cancer groups in Taiwanese population. (Source: Computer Metho...
Source: Computer Methods and Programs in Biomedicine - April 6, 2017 Category: Bioinformatics Authors: Suleman Atique, Chung-Ho Hsieh, Ruei-Ting Hsiao, Usman Iqbal, Phung Anh(Alex) Nguyen, Md. Mohaimenul Islam, Yu-Chuan(Jack) Li, Chien-Yeh Hsu, Ting-Wu Chuang, Shabbir Syed-Abdul Source Type: research

Viral Warts (HPV) as a Potential Risk for Breast Cancer among Younger Females
The role of viruses in the etiology of breast cancer has been acknowledged for over 100 years [1]. Viruses that are associated with human cancer are known as “tumor viruses” or “oncoviruses” and have played an important role in cancer biology [2,3]. It is estimated that viruses may cause approximately 15% of all human cancers [4]. Researchers have explored the relationships between viruses and cancer, such as HBV, HCV and EBV reported as prognost ic factors of cancers [3,5]. This research investigates the association of viral warts (HPV) with the top 10 cancer groups in Taiwanese population. (Source: Computer Metho...
Source: Computer Methods and Programs in Biomedicine - April 6, 2017 Category: Bioinformatics Authors: Suleman Atique, Chung-Ho Hsieh, Ruei-Ting Hsiao, Usman Iqbal, Phung Anh(Alex) Nguyen, Md. Mohaimenul Islam, Yu Chuan (Jack) Li, Chien-Yeh Hsu, Ting-Wu Chuang, Syed-Abdul Shabbir Source Type: research

Bio-EdIP: An Automatic Approach for In vitro Cell Confluence Images Quantification
Cell imaging is a tool used to study molecular and/or biological events. In fact, to develop quantitative approaches is an important task. In this context, digital image processing (DIP) can be applied to study image data through different techniques, such as algorithms of classification, digital features extraction, patter recognition, among others [1,2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 6, 2017 Category: Bioinformatics Authors: Andr és Cardona, Leandro Ariza-Jiménez, Diego Uribe, Johanna C. Arroyave, July Galeano, Fabian M. Cortés-Mancera Source Type: research

Prediction of Epileptic Seizures from EEG using Analysis of Ictal Rules on Poincar é Plane
Epilepsy is a chronic non-communicable disorder of the brain that affects individuals of all ages. It manifests itself with recurrent and abrupt seizures. About 50 million people worldwide are affected by epilepsy, making it globally one of the most common neurological diseases. Nearly three fourths of people with epilepsy living in low- and middle- income countries do not get proper treatment [1]. People who suffer from epilepsy are sometimes involved in accidents or get injuries due to unawareness of their seizure onset. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - April 6, 2017 Category: Bioinformatics Authors: Babak Sharif, Amir Homayoun Jafari Source Type: research

Prognostic value of tumor volume for patients with advanced lung cancer treated with chemotherapy
Lung cancer is the most common cause of cancerous death [1]. An irregular tumor is formed by continuous proliferation and division of cells that result from a mutation of pulmonary cells, and is further classified into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). The latter accounts for about 85% of all lung cancers, and 25 ∼30% of NSCLC patients are diagnosed as being in the terminal stage on their first visit, while 40%∼50% of patients are found to have distant metastasis [2,3]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 30, 2017 Category: Bioinformatics Authors: Chung-Feng Jeffrey Kuo, Bo-Han Ke, Nain-Ying Wu, Joseph Kuo, Hsian-He Hsu Source Type: research

A hybrid energy model for region based curve evolution – Application to CTA coronary segmentation
Coronary artery disease (CAD, also known as atherosclerosis) relates to the accumulation of cholesterol and fatty materials inside coronary arteries. Its growth leads to an obstruction of the vasculature that supplies blood to the heart musculature. As a result, the heart muscles become oxygen starved which may result in fatal cardiac consequences including angina, heart failure and arrhythmias. The mortality rate of CAD has dramatically increased in the last decade around the globe. According to the fact sheet of the World Health Organization [1], CAD was the prevailing cause of death globally in 2013, resulting in 8.14 m...
Source: Computer Methods and Programs in Biomedicine - March 29, 2017 Category: Bioinformatics Authors: Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg Slabaugh Source Type: research

A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation
Coronary artery disease (CAD, also known as atherosclerosis) relates to the accumulation of cholesterol and fatty materials inside coronary arteries. Its growth leads to an obstruction of the vasculature that supplies blood to the heart musculature. As a result, the heart muscles become oxygen starved which may result in fatal cardiac consequences including angina, heart failure and arrhythmias. The mortality rate of CAD has dramatically increased in the last decade around the globe. According to the fact sheet of the World Health Organization [1], CAD was the prevailing cause of death globally in 2013, resulting in 8.14 m...
Source: Computer Methods and Programs in Biomedicine - March 29, 2017 Category: Bioinformatics Authors: Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg Slabaugh Source Type: research

High-accuracy Detection of Airway Obstruction in Asthma Using Machine Learning Algorithms and Forced Oscillation Measurements
According to the World Health Organization, asthma is a serious global health problem with an estimated 300 million people affected worldwide and 250,000 deaths annually [1]. One of the main pathologic features of asthma is airway obstruction, which is proportional to the severity of disease and its cost. The assessment of airway obstruction is also important in the diagnosis and monitoring of the course of the disease, as well as, in evaluating the changes resulting from the treatment [2]. This is usually analyzed by spirometry and body plethysmography. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 28, 2017 Category: Bioinformatics Authors: Jorge L.M. Amaral, Agnaldo J. Lopes, Juliana Veiga, Alvaro C.D. Faria, Pedro L. Melo Source Type: research

Prediction of labor onset type: spontaneous vs induced; role of electrohysterography?
Financial support for the research (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 27, 2017 Category: Bioinformatics Authors: Jose Alberola-Rubio, Javier Garcia-Casado, Gema Prats-Boluda, Yiyao Ye-Lin, Domingo Desantes, Javier Valero, Alfredo Perales Source Type: research