Abstract：
:This paper presents a novel three-stage blood vessel segmentation algorithm using fundus photographs. In the first stage, the green plane of a fundus image is preprocessed to extract a binary image after high-pass filtering, and another binary image from the morphologically reconstructed enhanced image for the vessel regions. Next, the regions common to both the binary images are extracted as the major vessels. In the second stage, all remaining pixels in the two binary images are classified using a Gaussian mixture model (GMM) classifier using a set of eight features that are extracted based on pixel neighborhood and first and second-order gradient images. In the third postprocessing stage, the major portions of the blood vessels are combined with the classified vessel pixels. The proposed algorithm is less dependent on training data, requires less segmentation time and achieves consistent vessel segmentation accuracy on normal images as well as images with pathology when compared to existing supervised segmentation methods. The proposed algorithm achieves a vessel segmentation accuracy of 95.2%, 95.15%, and 95.3% in an average of 3.1, 6.7, and 11.7 s on three public datasets DRIVE, STARE, and CHASE_DB1, respectively.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Roychowdhury S,Koozekanani DD,Parhi KKdoi
10.1109/JBHI.2014.2335617subject
Has Abstractpub_date
2015-05-01 00:00:00pages
1118-28issue
3eissn
2168-2194issn
2168-2208journal_volume
19pub_type
杂志文章abstract：:The role of sensing technologies, such as wearables, in delivering precision care is becoming widely acceptable. Given the very large quantities of sensor data that rapidly accumulate, there is a need to employ automated algorithms to label biosignal sensor data. In many real-life clinical applications, no such expert...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2820054
更新日期：2019-01-01 00:00:00
abstract：:Unobtrusive, contactless recordings of physiological signals are very important for many health and human-computer interaction applications. Most current systems require sensors which intrusively touch the user's skin. Recent advances in contact-free physiological signals open the door to many new types of application...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2291900
更新日期：2014-07-01 00:00:00
abstract：:The classification of six types of white blood cells (WBCs) is considered essential for leukemia diagnosis, while the classification is labor-intensive and strict with the clinical experience. To relieve the complicated process with an efficient and automatic method, we propose the Attention-aware Residual Network bas...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3012711
更新日期：2020-07-29 00:00:00
abstract：:Core body temperature is a reliable marker for circadian rhythm. As characteristics of the circadian body temperature rhythm change during diverse health problems, such as sleep disorder and depression, body temperature monitoring is often used in clinical diagnosis and treatment. However, the use of current thermomet...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2529655
更新日期：2017-03-01 00:00:00
abstract：:Loneliness is a common condition in elderly associated with severe health consequences including increased mortality, decreased cognitive function, and poor quality of life. Identifying and assisting lonely individuals is therefore increasingly important-especially in the home setting-as the very nature of loneliness ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2294276
更新日期：2014-09-01 00:00:00
abstract：OBJECTIVE:Bi-Frequency Symmetry Difference (BFSD)-EIT can detect, localize and identify unilateral perturbations in symmetric scenes. Here, we test the viability and robustness of BFSD-EIT in stroke diagnosis. METHODS:A realistic 4-layer Finite Element Method (FEM) head model with and without bleed and clot lesions is...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2960862
更新日期：2020-08-01 00:00:00
abstract：:Scanning laser ophthalmoscopes (SLOs) can be used for early detection of retinal diseases. With the advent of latest screening technology, the advantage of using SLO is its wide field of view, which can image a large part of the retina for better diagnosis of the retinal diseases. On the other hand, during the imaging...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2352271
更新日期：2015-07-01 00:00:00
abstract：:The study of cell morphology is an important aspect of the diagnosis of some diseases, such as sickle cell disease, because red blood cell deformation is caused by these diseases. Due to the elongated shape of the erythrocyte, ellipse adjustment and concave point detection are applied widely to images of peripheral bl...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2356402
更新日期：2015-07-01 00:00:00
abstract：:Mental illnesses are vast and cause a lot of individual and social discomfort, with significant healthcare costs associated in terms of diagnosis and treatment. They can be triggered by a number of factors including stress, fatigue or anxiety. The associated physiological, cardiac and autonomic changes can be assessed...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2938311
更新日期：2019-11-01 00:00:00
abstract：:Remote health monitoring (RHM) has emerged as a solution to help reduce the cost burden of unhealthy lifestyles and aging populations. Enhancing compliance to prescribed medical regimens is an essential challenge to many systems, even those using smartphone technology. In this paper, we provide a technique to improve ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 临床试验,杂志文章
doi：10.1109/JBHI.2014.2329712
更新日期：2015-01-01 00:00:00
abstract：:The problem of online calibration and recalibration of continuous glucose monitoring (CGM) devices is considered. Two different parametric relations between interstitial and blood glucose are investigated and constructive algorithms to adaptively estimate the parameters within those relations are proposed. One charact...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2341703
更新日期：2015-09-01 00:00:00
abstract：:Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks can be generally formulated as set classification problems, which ca...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2803793
更新日期：2019-01-01 00:00:00
abstract：:This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing its performance by providing more adaptability and flexibility. This ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2331896
更新日期：2015-05-01 00:00:00
abstract：:Health Information Exchange (HIE) exhibits remarkable benefits for patient care such as improving healthcare quality and expediting coordinated care. The Office of the National Coordinator (ONC) for Health Information Technology is seeking patient-centric HIE designs that shift data ownership from providers to patient...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2993072
更新日期：2020-08-01 00:00:00
abstract：:We present a smartphone-only solution for the detection of atrial fibrillation (AFib), which utilizes the built-in accelerometer and gyroscope sensors [inertial measurement unit, (IMU)] in the detection. Depending on the patient's situation, it is possible to use the developed smartphone application either regularly o...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2688473
更新日期：2018-01-01 00:00:00
abstract：:We present our efforts toward enabling a wearable sensor system that allows for the correlation of individual environmental exposures with physiologic and subsequent adverse health responses. This system will permit a better understanding of the impact of increased ozone levels and other pollutants on chronic asthma c...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2573286
更新日期：2016-09-01 00:00:00
abstract：:Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from comorbidity, the cost of treating such a patient becomes dependent on the nature of the comorbidity. Therefore, lack of recognition of comorbidity on asthmatic patient pos...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3034092
更新日期：2020-10-27 00:00:00
abstract：:A description of patient conditions should consist of the changes in and combination of clinical measures. Traditional data-processing method and classification algorithms might cause clinical information to disappear and reduce prediction performance. To improve the accuracy of clinical-outcome prediction by using mu...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2357719
更新日期：2015-05-01 00:00:00
abstract：:Magnetic resonance imaging (MRI) is the modality of choice as far as imaging diagnosis of pathologies in the pituitary gland is concerned. Furthermore, the advent of dynamic contrast enhanced (DCE) has enhanced the capability of this modality in detecting minute benign but endocrinologically significant tumors called ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2715078
更新日期：2018-05-01 00:00:00
abstract：:Diabetic retinopathy (DR) is a complication of diabetes that severely affects eyes. It can be graded into five levels of severity according to international protocol. However, optimizing a grading model to have strong generalizability requires a large amount of balanced training data, which is difficult to collect, pa...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3045475
更新日期：2020-12-17 00:00:00
abstract：:Bipolar Disorder (BD) is characterized by an alternation of mood states from depression to (hypo)mania. Mixed states, i.e., a combination of depression and mania symptoms at the same time, can also be present. The diagnosis of this disorder in the current clinical practice is based only on subjective interviews and qu...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2554546
更新日期：2016-07-01 00:00:00
abstract：:Robotic-assisted needle steering can enhance the accuracy of needle-based interventions. Application of current needle steering techniques are restricted by the limited deflection curvature of needles. Here, a novel steerable needle with improved curvature is developed and used with an online motion planner to steer t...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2780192
更新日期：2018-11-01 00:00:00
abstract：:This paper proposes a novel hybrid network named multiple-feature-branch convolutional bidirectional recurrent neural network (MFB-CBRNN) for myocardial infarction (MI) detection using 12-lead ECGs. The model efficiently combines convolutional neural network-based and recurrent neural network-based structures. Each fe...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2910082
更新日期：2020-02-01 00:00:00
abstract：:In this paper, we propose an automated method to reconstruct the three-dimensional (3-D) needle shape during needle insertion procedures using only 2-D transverse ultrasound (US) images. Using a set of transverse US images, image processing and random sample consensus are used to locate the needle within each image an...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2477829
更新日期：2016-11-01 00:00:00
abstract：:Attribute-based encryption has been a promising encryption technology to secure personal health records (PHRs) sharing in cloud computing. PHRs consist of the patient data often collected from various sources including hospitals and general practice centres. Different patients' access policies have a common access sub...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2850304
更新日期：2019-05-01 00:00:00
abstract：:Accurate segmentation and segmentation of lesions in PET images provide computer-aided procedures and doctors with parameters for tumour diagnosis, staging and prognosis. Currently, PET segmentation and lesion partitioning are manually measured by radiologists, which is time consuming and laborious, and tedious manual...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3024563
更新日期：2020-09-18 00:00:00
abstract：:The seismocardiogram (SCG) measures the movement of the chest wall in response to underlying cardiovascular events. Though this signal contains clinically-relevant information, its morphology is both patient-specific and highly transient. In light of recent work suggesting the existence of population-level patterns in...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2980979
更新日期：2020-07-01 00:00:00
abstract：:Optical coherence tomography angiography (OCTA) is an emerging non-invasive imaging technique for imaging the microvasculature of the eye based on phase variance or amplitude decorrelation derived from repeated OCT images of the same tissue area. Stripe noise occurs during the OCTA acquisition process due to the invol...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2997381
更新日期：2020-12-01 00:00:00
abstract：:This study examines the electromyogram (EMG)-torque relation for chronic stroke survivors using a novel EMG complexity representation. Ten stroke subjects performed a series of submaximal isometric elbow flexion tasks using their affected and contralateral arms, respectively, while a 20-channel linear electrode array ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2626399
更新日期：2017-11-01 00:00:00
abstract：:Image classification using convolutional neural networks (CNNs) outperforms other state-of-the-art methods. Moreover, attention can be visualized as a heatmap to improve the explainability of results of a CNN. We designed a framework that can generate heatmaps reflecting lesion regions precisely. We generated initial ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3011805
更新日期：2020-12-01 00:00:00
