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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/28391824/deciphering-the-human-brain-how-health-information-technology-can-help-in-diagnosis-evaluation-and-treatment
#1
EDITORIAL
Ming-Chin Lin, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391823/location-of-mammograms-roi-s-and-reduction-of-false-positive
#2
Luis Antonio Salazar-Licea, Jesús Carlos Pedraza-Ortega, Alberto Pastrana-Palma, Marco A Aceves-Fernandez
BACKGROUND AND OBJECTIVE: There are many work related with segmentation techniques, including nearest neighbor algorithm, fuzzy rules, morphological filters, image entropy, thresholding, machine learning, wavelet analysis, and so on. Such methods carry out the segmentation, but take a lot of processing time by modifying the content of the image or showing discern problems in homogeneous areas, and the segmentation technique is designed to work efficiently only with the techniques used...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391822/a-novel-method-and-software-for-automatically-classifying-alzheimer-s-disease-patients-by-magnetic-resonance-imaging-analysis
#3
F Previtali, P Bertolazzi, G Felici, E Weitschek
BACKGROUND AND OBJECTIVE: The cause of the Alzheimer's disease is poorly understood and to date no treatment to stop or reverse its progression has been discovered. In developed countries, the Alzheimer's disease is one of the most financially costly diseases due to the requirement of continuous treatments as well as the need of assistance or supervision with the most cognitively demanding activities as time goes by. The objective of this work is to present an automated approach for classifying the Alzheimer's disease from magnetic resonance imaging (MRI) patient brain scans...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391821/predicting-epileptic-seizures-from-scalp-eeg-based-on-attractor-state-analysis
#4
Hyunho Chu, Chun Kee Chung, Woorim Jeong, Kwang-Hyun Cho
BACKGROUND AND OBJECTIVE: Epilepsy is the second most common disease of the brain. Epilepsy makes it difficult for patients to live a normal life because it is difficult to predict when seizures will occur. In this regard, if seizures could be predicted a reasonable period of time before their occurrence, epilepsy patients could take precautions against them and improve their safety and quality of life. In this paper, we investigate a novel seizure precursor based on attractor state analysis for seizure prediction...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391820/msfcn-multiple-supervised-fully-convolutional-networks-for-the-osteosarcoma-segmentation-of-ct-images
#5
Lin Huang, Wei Xia, Bo Zhang, Bensheng Qiu, Xin Gao
BACKGROUND AND OBJECTIVE: Automatic osteosarcoma tumor segmentation on computed tomography (CT) images is a challenging problem, as tumors have large spatial and structural variabilities. In this study, an automatic tumor segmentation method, which was based on a fully convolutional networks with multiple supervised side output layers (MSFCN), was presented. METHODS: Image normalization is applied as a pre-processing step for decreasing the differences among images...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391819/automatic-gender-determination-from-3d-digital-maxillary-tooth-plaster-models-based-on-the-random-forest-algorithm-and-discrete-cosine-transform
#6
Betül Akkoç, Ahmet Arslan, Hatice Kök
BACKGROUND AND OBJECTIVE: One of the first stages in the identification of an individual is gender determination. Through gender determination, the search spectrum can be reduced. In disasters such as accidents or fires, which can render identification somewhat difficult, durable teeth are an important source for identification. This study proposes a smart system that can automatically determine gender using 3D digital maxillary tooth plaster models. METHODS: The study group was composed of 40 Turkish individuals (20 female, 20 male) between the ages of 21 and 24...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391818/a-computational-measurement-of-cartilaginous-endplate-structure-using-ultrashort-time-to-echo-mri-scanning
#7
Ri-Chu Jin, Yong-Can Huang, Keith D K Luk, Yong Hu
BACKGROUND AND OBJECTIVE: Ultrashort time-to-echo (UTE) MRI scanning has been applied to observe the cartilaginous endplate (CEP) in intervertebral disc. CEP plays a critical role in IVD health and disease. Nevertheless, current measurements of CEP based on UTE MRI technique are still by manual segmentation, and observation of signal abnormality was usually time-consuming and often disturbed by subjective bias. This study hence proposed an efficient way to harvest the global parameters of CEP after UTE MRI scanning...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391817/motorbrain-a-mobile-app-for-the-assessment-of-users-motor-performance-in-neurology
#8
Andrea Vianello, Luca Chittaro, Stefano Burigat, Riccardo Budai
BACKGROUND AND OBJECTIVE: Human motor skills or impairments have been traditionally assessed by neurologists by means of paper-and-pencil tests or special hardware. More recently, technologies such as digitizing tablets and touchscreens have offered neurologists new assessment possibilities, but their use has been restricted to a specific medical condition, or to stylus-operated mobile devices. The objective of this paper is twofold. First, we propose a mobile app (MotorBrain) that offers six computerized versions of traditional motor tests, can be used directly by patients (with and without the supervision of a clinician), and aims at turning millions of smartphones and tablets available to the general public into data collection and assessment tools...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391816/subject-based-discriminative-sparse-representation-model-for-detection-of-concealed-information
#9
Amir Akhavan, Mohammad Hassan Moradi, Safa Rafiei Vand
BACKGROUND AND OBJECTIVES: The use of machine learning approaches in concealed information test (CIT) plays a key role in the progress of this neurophysiological field. In this paper, we presented a new machine learning method for CIT in which each subject is considered independent of the others. The main goal of this study is to adapt the discriminative sparse models to be applicable for subject-based concealed information test. METHODS: In order to provide sufficient discriminability between guilty and innocent subjects, we introduced a novel discriminative sparse representation model and its appropriate learning methods...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391815/semi-automatic-segmentation-of-femur-based-on-harmonic-barrier
#10
Zheng Zou, Sheng-Hui Liao, San-Ding Luo, Qing Liu, Shi-Jian Liu
BACKGROUND AND OBJECTIVE: Segmentation of the femur from the hip joint in computed tomography (CT) is an important preliminary step in hip surgery planning and simulation. However, this is a time-consuming and challenging task due to the weak boundary, the varying topology of the hip joint, and the extremely narrow or blurred space between the femoral head and the acetabulum. To address these problems, this study proposed a semi-automatic segmentation framework based on harmonic fields for accurate segmentation...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391814/antibiogramj-a-tool-for-analysing-images-from-disk-diffusion-tests
#11
C A Alonso, C Domínguez, J Heras, E Mata, V Pascual, C Torres, M Zarazaga
BACKGROUND AND OBJECTIVES: Disk diffusion testing, known as antibiogram, is widely applied in microbiology to determine the antimicrobial susceptibility of microorganisms. The measurement of the diameter of the zone of growth inhibition of microorganisms around the antimicrobial disks in the antibiogram is frequently performed manually by specialists using a ruler. This is a time-consuming and error-prone task that might be simplified using automated or semi-automated inhibition zone readers...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391813/a-pc-based-shutter-glasses-controller-for-visual-stimulation-using-multithreading-in-labwindows-cvi
#12
Ivan Gramatikov, Kurt Simons, David Guyton, Boris Gramatikov
BACKGROUND AND OBJECTIVES: Amblyopia, commonly known as "lazy eye," is poor vision in an eye from prolonged neurologic suppression. It is a major public health problem, afflicting up to 3.6% of children, and will lead to lifelong visual impairment if not identified and treated in early childhood. Traditional treatment methods, such as occluding or penalizing the good eye with eye patches or blurring eye drops, do not always yield satisfactory results. Newer methods have emerged, based on liquid crystal shutter glasses that intermittently occlude the better eye, or alternately occlude the two eyes, thus stimulating vision in the "lazy" eye...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391812/an-enhancement-method-for-color-retinal-images-based-on-image-formation-model
#13
Li Xiong, Huiqi Li, Liang Xu
BACKGROUND AND OBJECTIVE: The good quality of color retinal image is essential for doctors to make a reliable diagnose in clinics. Due to major reasons like acquisition process and retinal diseases, most retinal images can show poor illuminance, blur and low contrast, further impeding the process of identifying the underlying retinal condition. METHODS: Image formation model of scattering is proposed to enhance color retinal images in this paper. Two parameters of this model, background illuminance and transmission map, are estimated based on extracted background and foreground...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391811/a-study-of-emr-based-medical-knowledge-network-and-its-applications
#14
Chao Zhao, Jingchi Jiang, Zhiming Xu, Yi Guan
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis model based on this network. METHODS: The dataset of our study contains 992 records which are uniformly sampled from different departments of the hospital. In order to integrate the knowledge of these records, an EMR-based medical knowledge network (EMKN) is constructed...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391810/disting-a-web-application-for-fast-algorithmic-computation-of-alternative-indistinguishable-linear-compartmental-models
#15
Natalie R Davidson, Keith R Godfrey, Faisal Alquaddoomi, David Nola, Joseph J DiStefano
BACKGROUND AND OBJECTIVES: We describe and illustrate use of DISTING, a novel web application for computing alternative structurally identifiable linear compartmental models that are input-output indistinguishable from a postulated linear compartmental model. Several computer packages are available for analysing the structural identifiability of such models, but DISTING is the first to be made available for assessing indistinguishability. METHODS: The computational algorithms embedded in DISTING are based on advanced versions of established geometric and algebraic properties of linear compartmental models, embedded in a user-friendly graphic model user interface...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391809/leveraging-medical-taxonomies-to-improve-knowledge-management-within-online-communities-of-practice-the-knowledge-maps-system
#16
Samuel Alan Stewart, Syed Sibte Raza Abidi
BACKGROUND AND OBJECTIVE: Online communities of practice contain a wealth of information, stored in the free text of shared communications between community members. The Knowledge Maps (KMaps) system is designed to facilitate Knowledge Translation in online communities through multi-level analyses of the shared messages of these communications. METHODS: Using state-of-the-art semantic mapping technologies (Metamap) the contents of the messages shared within an online community are mapped to terms from the MeSH medical lexicon, providing a multi-level topic-specific summary of the knowledge being shared within the community...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391808/fully-automated-nipple-detection-in-digital-breast-tomosynthesis
#17
Seung-Hoon Chae, Ji-Wook Jeong, Jang-Hwan Choi, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, Sooyeul Lee
BACKGROUND AND OBJECTIVE: We propose a nipple detection algorithm for use with digital breast tomosynthesis (DBT) images. DBT images have been developed to overcome the weaknesses of 2D mammograms for denser breasts by providing 3D breast images. The nipple location acts as an invaluable landmark in DBT images for aligning the right and left breasts and describing the relative location of any existing lesions. METHODS: Nipples may be visible or invisible in a breast image, and therefore a nipple detection method must be able to detect the nipples for both cases...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391807/automatic-liver-segmentation-from-abdominal-ct-volumes-using-graph-cuts-and-border-marching
#18
Miao Liao, Yu-Qian Zhao, Xi-Yao Liu, Ye-Zhan Zeng, Bei-Ji Zou, Xiao-Fang Wang, Frank Y Shih
BACKGROUND AND OBJECTIVE: Identifying liver regions from abdominal computed tomography (CT) volumes is an important task for computer-aided liver disease diagnosis and surgical planning. This paper presents a fully automatic method for liver segmentation from CT volumes based on graph cuts and border marching. METHODS: An initial slice is segmented by density peak clustering. Based on pixel- and patch-wise features, an intensity model and a PCA-based regional appearance model are developed to enhance the contrast between liver and background...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325452/unity-is-strength-improving-biomedical-classification-performance-based-on-ensemble-learning-approaches
#19
EDITORIAL
Emily Chia-Yu Su, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325451/multiview-boosting-digital-pathology-analysis-of-prostate-cancer
#20
Jin Tae Kwak, Stephen M Hewitt
BACKGROUND AND OBJECTIVE: Various digital pathology tools have been developed to aid in analyzing tissues and improving cancer pathology. The multi-resolution nature of cancer pathology, however, has not been fully analyzed and utilized. Here, we develop an automated, cooperative, and multi-resolution method for improving prostate cancer diagnosis. METHODS: Digitized tissue specimen images are obtained from 5 tissue microarrays (TMAs). The TMAs include 70 benign and 135 cancer samples (TMA1), 74 benign and 89 cancer samples (TMA2), 70 benign and 115 cancer samples (TMA3), 79 benign and 82 cancer samples (TMA4), and 72 benign and 86 cancer samples (TMA5)...
April 2017: Computer Methods and Programs in Biomedicine
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