Read by QxMD icon Read

Computer Methods and Programs in Biomedicine

Min-Chun Hu, Kun-Chan Lan, Wen-Chieh Fang, Yu-Chia Huang, Tsung-Jung Ho, Chun-Pang Lin, Ming-Hsien Yeh, Paweeya Raknim, Ying-Hsiu Lin, Ming-Hsun Cheng, Yi-Ting He, Kuo-Chih Tseng
Tongue features are important objective basis for clinical diagnosis and treatment in both western medicine and Chinese medicine. The need for continuous monitoring of health conditions inspires us to develop an automatic tongue diagnosis system based on built-in sensors of smartphones. However, tongue images taken by smartphone are quite different in color due to various lighting conditions, and it consequently affects the diagnosis especially when we use the appearance of tongue fur to infer health conditions...
December 24, 2017: Computer Methods and Programs in Biomedicine
Hong Zhang, Wandong Ni, Jing Li, Youlin Jiang, Kunjing Liu, Zhaohui Ma
BACKGROUND AND OBJECTIVE: Standardization of electronic medical record, so as to enable resource-sharing and information exchange among medical institutions has become inevitable in view of the ever increasing medical information. The current research is an effort towards the standardization of basic dataset of electronic medical records in traditional Chinese medicine. METHODS: In this work, an outpatient clinical information model and an inpatient clinical information model are created to adequately depict the diagnosis processes and treatment procedures of traditional Chinese medicine...
December 24, 2017: Computer Methods and Programs in Biomedicine
Hung-Jr Shiu, Bor-Sing Lin, Chien-Hung Huang, Pei-Ying Chiang, Chin-Laung Lei
No abstract text is available yet for this article.
November 21, 2017: Computer Methods and Programs in Biomedicine
A I Shahin, Yanhui Guo, K M Amin, Amr A Sharawi
BACKGROUND AND OBJECTIVES: White blood cells (WBCs) differential counting yields valued information about human health and disease. The current developed automated cell morphology equipments perform differential count which is based on blood smear image analysis. Previous identification systems for WBCs consist of successive dependent stages; pre-processing, segmentation, feature extraction, feature selection, and classification. There is a real need to employ deep learning methodologies so that the performance of previous WBCs identification systems can be increased...
November 16, 2017: Computer Methods and Programs in Biomedicine
Francisco Javier Pérez-Benito, Patricia Villacampa-Fernández, J Alberto Conejero, Juan M García-Gómez, Esperanza Navarro-Pardo
BACKGROUND AND OBJECTIVE: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the prediction of happiness. The conventional methodologies are based on linear relationships, such as the commonly used Multivariate Linear Regression (MLR), which may suffer from the lack of representative capacity to the varied psychological features. Using Deep Neural Networks (DNN), we define a Happiness Degree Predictor (H-DP) based on the answers to five psychometric standardized questionnaires...
November 13, 2017: Computer Methods and Programs in Biomedicine
Hung-Wen Chiu, Yu-Chuan Jack Li
No abstract text is available yet for this article.
February 2018: Computer Methods and Programs in Biomedicine
Woo Kyung Moon, Jie-Fan Chang, Chung-Ming Lo, Jung Min Chang, Su Hyun Lee, Sung Ui Shin, Chiun-Sheng Huang, Ruey-Feng Chang
BACKGROUND AND OBJECTIVE: Breast density at mammography has been used as markers of breast cancer risk. However, newly introduced tomosynthesis and computer-aided quantitative method could provide more reliable breast density evaluation. METHODS: In the experiment, 98 tomosynthesis image volumes were obtained from 98 women. For each case, an automatic skin removal was used and followed by a fuzzy c-mean (FCM) classifier which separated the fibroglandular tissues from other tissues in breast area...
February 2018: Computer Methods and Programs in Biomedicine
Carlos Santiago, Jacinto C Nascimento, Jorge S Marques
BACKGROUND AND OBJECTIVE: The segmentation of the left ventricle (LV) in cardiac magnetic resonance imaging is a necessary step for the analysis and diagnosis of cardiac function. In most clinical setups, this step is still manually performed by cardiologists, which is time-consuming and laborious. This paper proposes a fast system for the segmentation of the LV that significantly reduces human intervention. METHODS: A dynamic programming approach is used to obtain the border of the LV...
February 2018: Computer Methods and Programs in Biomedicine
David Montaña, Yolanda Campos-Roca, Carlos J Pérez
BACKGROUND AND OBJECTIVE: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests. METHODS: The system is based on temporal and spectral features extracted from the Voice Onset Time (VOT) segments of /ka/ syllables, whose boundaries are delimited by a novel algorithm. For comparison purposes, the approach is applied also to /pa/ and /ta/ syllables. In order to develop and validate the system, a voice recording database composed of 27 individuals diagnosed with PD and 27 healthy controls has been collected...
February 2018: Computer Methods and Programs in Biomedicine
E-Fong Kao, Chiao-Yi Lu, Chi-Yuan Wang, Wei-Chen Yeh, Pang-Kai Hsia
BACKGROUND AND OBJECTIVE: Flatfeet can be evaluated by measuring the calcaneal-fifth metatarsal angle on a weight-bearing lateral foot radiograph. This study aimed to develop an automated method for determining the calcaneal-fifth metatarsal angle on weight-bearing lateral foot radiograph. METHOD: The proposed method comprises four processing steps: (1) identification of the regions including the calcaneus and fifth metatarsal bones in a foot image; (2) delineation of the contours of the calcaneus and the fifth metatarsal; (3) determination of the tangential lines of the two bones from the contours; and (4) determination of the calcaneal-fifth metatarsal angle between the two tangential lines as arch angle...
February 2018: Computer Methods and Programs in Biomedicine
Wan Mimi Diyana Wan Zaki, Marizuana Mat Daud, Siti Raihanah Abdani, Aini Hussain, Haliza Abdul Mutalib
BACKGROUND AND BJECTIVE: Pterygium is an ocular disease caused by fibrovascular tissue encroachment onto the corneal region. The tissue may cause vision blurring if it grows into the pupil region. In this study, we propose an automatic detection method to differentiate pterygium from non-pterygium (normal) cases on the basis of frontal eye photographed images, also known as anterior segment photographed images. METHODS: The pterygium screening system was tested on two normal eye databases (UBIRIS and MILES) and two pterygium databases (Australia Pterygium and Brazil Pterygium)...
February 2018: Computer Methods and Programs in Biomedicine
Lijun Lu, Xiaomian Ma, Hassan Mohy-Ud-Din, Jianhua Ma, Qianjin Feng, Arman Rahmim, Wufan Chen
BACKGROUND AND OBJECTIVE: The absolute quantification of dynamic myocardial perfusion (MP) PET imaging is challenged by the limited spatial resolution of individual frame images due to division of the data into shorter frames. This study aims to develop a method for restoration and enhancement of dynamic PET images. METHODS: We propose that the image restoration model should be based on multiple constraints rather than a single constraint, given the fact that the image characteristic is hardly described by a single constraint alone...
February 2018: Computer Methods and Programs in Biomedicine
P A Karthick, Diptasree Maitra Ghosh, S Ramakrishnan
BACKGROUND AND OBJECTIVE: Surface electromyography (sEMG) based muscle fatigue research is widely preferred in sports science and occupational/rehabilitation studies due to its noninvasiveness. However, these signals are complex, multicomponent and highly nonstationary with large inter-subject variations, particularly during dynamic contractions. Hence, time-frequency based machine learning methodologies can improve the design of automated system for these signals. METHODS: In this work, the analysis based on high-resolution time-frequency methods, namely, Stockwell transform (S-transform), B-distribution (BD) and extended modified B-distribution (EMBD) are proposed to differentiate the dynamic muscle nonfatigue and fatigue conditions...
February 2018: Computer Methods and Programs in Biomedicine
Krzysztof Kręcisz, Dawid Bączkowicz
BACKGROUND AND OBJECTIVE: Vibroarthrography (VAG) is a method developed for sensitive and objective assessment of articular function. Although the VAG method is still in development, it shows high accuracy, sensitivity and specificity when comparing results obtained from controls and the non-specific, knee-related disorder group. However, the multiclass classification remains practically unknown. Therefore the aim of this study was to extend the VAG method classification to 5 classes, according to different disorders of the patellofemoral joint...
February 2018: Computer Methods and Programs in Biomedicine
G S Cover, W G Herrera, M P Bento, S Appenzeller, L Rittner
BACKGROUND AND OBJECTIVE: The corpus callosum (CC) is the largest white matter structure in the brain and has a significant role in central nervous system diseases. Its volume correlates with the severity and/or extent of neurodegenerative disease. Even though the CC's role has been extensively studied over the last decades, and different algorithms and methods have been published regarding CC segmentation and parcellation, no reviews or surveys covering such developments have been reported so far...
February 2018: Computer Methods and Programs in Biomedicine
Shancheng Jiang, Kwai-Sang Chin, Kwok L Tsui
BACKGROUND AND OBJECTIVE: The Accident and Emergency Department (A&ED) is the frontline for providing emergency care in hospitals. Unfortunately, relative A&ED resources have failed to keep up with continuously increasing demand in recent years, which leads to overcrowding in A&ED. Knowing the fluctuation of patient arrival volume in advance is a significant premise to relieve this pressure. Based on this motivation, the objective of this study is to explore an integrated framework with high accuracy for predicting A&ED patient flow under different triage levels, by combining a novel feature selection process with deep neural networks...
February 2018: Computer Methods and Programs in Biomedicine
Nicoleta Anton Apreutesei, Filip Tircoveanu, Alina Cantemir, Camelia Bogdanici, Cătălin Lisa, Silvia Curteanu, Dorin Chiseliţă
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, having one or two hidden layers which were subsequently employed in the prediction of ocular changes progression in patients with diabetes associated with primer open-angle glaucoma. MATERIAL AND METHODS: For attempting to indicate whether there is a relationship between glaucoma and diabetes, a simulation method, based on artificial neural networks (ANN), Jordan Elman networks (JEN) type, in particular, was applied in conjunction with clinical observation...
February 2018: Computer Methods and Programs in Biomedicine
Fateme Mostajer Kheirkhah, Hamid Reza Sadegh Mohammadi, Abdolhossein Shahverdi
Proper recognition and tracking of microscopic sperm cells in video images are vital steps of male infertility diagnosis and treatment. The segmentation and detection of sperms in microscopic image analysis is a complicate process as a result of their small sizes, fast movements, and considerable collisions. Histogram-based thresholding schemes are very popular for this purpose, since they are quite fast and provide almost acceptable results. This paper proposes a combined method for sperm cells detection, which consists of a non-linear pre-processing stage, a histogram-based thresholding algorithm, and a tracking method based on an adaptive distance scheme...
February 2018: Computer Methods and Programs in Biomedicine
Jung Jin Kim, Jimin Nam, In Gwun Jang
BACKGROUND AND OBJECTIVE: Automated segmentation with high accuracy and speed is a prerequisite for FEA-based quantitative assessment with a large population. However, hip joint segmentation has remained challenging due to a narrow articular cartilage and thin cortical bone with a marked interindividual variance. To overcome this challenge, this paper proposes a fully automated segmentation method for a hip joint that uses the complementary characteristics between the thresholding technique and the watershed algorithm...
February 2018: Computer Methods and Programs in Biomedicine
Guillaume Bouzillé, Canelle Poirier, Boris Campillo-Gimenez, Marie-Laure Aubert, Mélanie Chabot, Emmanuel Chazard, Audrey Lavenu, Marc Cuggia
BACKGROUND AND OBJECTIVE: Influenza epidemics are a major public health concern and require a costly and time-consuming surveillance system at different geographical scales. The main challenge is being able to predict epidemics. Besides traditional surveillance systems, such as the French Sentinel network, several studies proposed prediction models based on internet-user activity. Here, we assessed the potential of hospital big data to monitor influenza epidemics. METHODS: We used the clinical data warehouse of the Academic Hospital of Rennes (France) and then built different queries to retrieve relevant information from electronic health records to gather weekly influenza-like illness activity...
February 2018: Computer Methods and Programs in Biomedicine
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"