Abstract：
BACKGROUND AND OBJECTIVE:Cerebrovascular diseases (CVDs) affect a large number of patients and often have devastating outcomes. The hallmarks of CVDs are the abnormalities formed on brain blood vessels, including protrusions, narrows, widening, and bifurcation of the blood vessels. CVDs are often diagnosed by digital subtraction angiography (DSA) yet the interpretation of DSA is challenging as one must carefully examine each brain blood vessel. The objective of this work is to develop a computerized analysis approach for automated segmentation of brain blood vessels. METHODS:In this work, we present a U-net based deep learning approach, combined with pre-processing, to track and segment brain blood vessels in DSA images. We compared the results given by the deep learning approach with manually marked ground truth using accuracy, sensitivity, specificity, and Dice coefficient. RESULTS:Our results showed that the proposed approach achieved an accuracy of 0.978, with a standard deviation of 0.00796, a sensitivity of 0.76 with a standard deviation of 0.096, a specificity of 0.994 with a standard deviation of 0.0036, and an average Dice coefficient was 0.8268 with a standard deviation of 0.052. CONCLUSIONS:Our findings show that the deep learning approach can achieve satisfactory performance as a computer-aided analysis tool to assist clinicians in diagnosing CVDs.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Zhang M,Zhang C,Wu X,Cao X,Young GS,Chen H,Xu Xdoi
10.1016/j.cmpb.2019.105159subject
Has Abstractpub_date
2020-03-01 00:00:00pages
105159eissn
0169-2607issn
1872-7565pii
S0169-2607(19)30326-8journal_volume
185pub_type
杂志文章abstract：BACKGROUND AND OBJECTIVE:The presence of circulating tumor cells in the patient's blood is a clinical factor that indicates the initiation of metastasis. METHODS:In this paper, a microfluidic device is designed to separate, enumerate, and to diagnose cancer cells from the patient's blood sample. Here, we present a new...
journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2019.105147
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abstract：:An interactive Pascal program for use in the IBM-PC and compatible computers is presented. It simulates the activation of integral membrane proteins involved in ionic transport. The program allows variation of the number of transport proteins, ionic concentrations, permeability ratios, voltage dependence of permeabili...
journal_title：Computer methods and programs in biomedicine
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doi：10.1016/0169-2607(89)90089-8
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abstract：:A dose-response meta-analysis of epidemiological studies can encounter different types of confidence intervals (floated vs. conventional). This paper illustrates how to back calculate conventional confidence intervals from a set of relative risks reported with floated confidence intervals or floated standard errors. F...
journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章,meta分析
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abstract：:Sleep-related breathing disorders are common in adults and they have a significant impact on vigilance and quality of life. Previous studies have shown the validity of the static-charge-sensitive bed (SCSB) in monitoring breathing abnormalities during sleep. A whole nights sleep study produces a signal with considerab...
journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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abstract：:metrumrg is an R package that facilitates workflow for the discipline of pharmacometrics. Support is provided for data preparation, modeling, simulation, diagnostics, and reporting. Existing tools and techniques are emphasized where available; original solutions are provided for otherwise unmet needs. In particular, m...
journal_title：Computer methods and programs in biomedicine
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doi：10.1016/j.cmpb.2012.08.009
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abstract：:Accurate and fast approaches for automatic ECG data classification are vital for clinical diagnosis of heart disease. To this end, we propose a novel multistage algorithm that combines various procedures for dimensionality reduction, consensus clustering of randomized samples and fast supervised classification algorit...
journal_title：Computer methods and programs in biomedicine
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doi：10.1016/j.cmpb.2013.08.002
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abstract：BACKGROUND AND OBJECTIVE:We propose an automatic approach for fast vertebral body segmentation in three-dimensional magnetic resonance images of the whole spine. Previous works are limited to the lower thoracolumbar section and often take minutes to compute, which is problematic in clinical routine, for study data sets...
journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2004.09.007
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abstract：:A medical application is a highly complex system that embraces many data types and a very large number of data processing functions and methods. The development of integrated software engineering environments has deeply changed the conception of applications and the profile of the application developers. In this paper...
journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：
更新日期：1994-12-01 00:00:00
abstract：:We discuss how vocal disorders can be post-corrected via a simple nonlinear noise reduction scheme. This work is motivated by the need of a better understanding of voice dysfunctions. This would entail a 2-fold advantage for affected patients: Physicians can perform better surgical interventions and on the other hand ...
journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/j.cmpb.2006.03.003
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/0169-2607(94)90128-7
更新日期：1994-03-01 00:00:00
abstract：:Magnetic resonance angiography (MRA) offers a non-invasive approach to the acquisition of anatomically accurate human arterial structure. Combining the latest computational fluid dynamics (CFD) techniques with clinical data from MRA, the detailed haemodynamics information in the human circulation system can be obtaine...
journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/s0169-2607(98)00008-x
更新日期：1998-06-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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doi：10.1016/j.cmpb.2011.05.005
更新日期：2011-11-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章,评审
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更新日期：2012-11-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
doi：10.1016/0169-2607(92)90087-n
更新日期：1992-03-01 00:00:00
abstract：:A discrete model has been developed which reproduces the intercellular electrophysiological processes within a block of myocardial tissue. The behaviour of individual elements is introduced in the form of the digitised physiologic and premature action potentials which are comprehended as series of jumps between discre...
journal_title：Computer methods and programs in biomedicine
pub_type： 杂志文章
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更新日期：1991-06-01 00:00:00
abstract：:We propose a specially optimized computer program for the user-independent calculation of the correlation dimension D and the largest Lyapunov exponent L of heart rate dynamics on the basis of only 1024 electrocardiographically recorded RR intervals (heartbeat intervals). The validity of our program was established by...
journal_title：Computer methods and programs in biomedicine
pub_type： 临床试验,杂志文章
doi：10.1016/0169-2607(95)01707-0
更新日期：1996-01-01 00:00:00
