Journal of Healthcare Engineering
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Segmentation and Classification of Glaucoma Using U-Net with Deep Learning ModelGlaucoma is the second most common cause for blindness around the world and the third most common in Europe and the USA. Around 78 million people are presently living with glaucoma (2020). It is expected that 111.8 million people will have glaucoma by the year 2040. 90% of glaucoma is undetected in developing nations. It is essential to develop a glaucoma detection system for early diagnos... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2022 - Trang 1-10 - 2022
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter OptimizationWith the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent disease diagnosis systems have been profoundly coveted. In recent years, numerous individual machine learning-based classifiers have been proposed and tested, and the fact that a single classifier cannot effectively classify and diagnose all diseases has been almost accorded with. This has see... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2017 - Trang 1-27 - 2017
Systems and WBANs for Controlling ObesityAccording to World Health Organization (WHO) estimations, one out of five adults worldwide will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 billion adults (39%) of 18 years and older were overweight and over 600 million (13%) of these were obese in 2014. 42 million children under the age of five were overweight or obese in 2014. Obesity is a top publi... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2018 - Trang 1-21 - 2018
Deep Convolutional Neural Networks for Chest Diseases DetectionChest diseases are very serious health problems in the life of people. These diseases include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, and lung diseases. The timely diagnosis of chest diseases is very important. Many methods have been developed for this purpose. In this paper, we demonstrate the feasibility of classifying the chest pathologies in chest X-rays... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2018 - Trang 1-11 - 2018
Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway ObstructionCT image information data under deep learning algorithms was adopted to evaluate small airway function and analyze the clinical efficacy of different glucocorticoid administration ways in asthmatic children with small airway obstruction. The Res-NET in the deep learning algorithm was used to perform feature extraction, summary classification, and other reconstruction of CT images. A deep l... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2021 - Trang 1-12 - 2021
An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract DiagnosisCataract is one of the leading causes of blindness in the world’s population. A method to evaluate blurriness for cataract diagnosis in retinal images with vitreous opacity is proposed in this paper. Three types of features are extracted, which include pixel number of visible structures, mean contrast between vessels and background, and local standard deviation. To avoid the wrong detectio... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2017 - Trang 1-16 - 2017
Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural NetworkBreast cancer is the most common cancer among women worldwide with about half a million cases reported each year. Mammary thermography can offer early diagnosis at low cost if adequate thermographic images of the breasts are taken. The identification of breast cancer in an automated way can accelerate many tasks and applications of pathology. This can help complement diagnosis. The aim of ... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2019 - Trang 1-13 - 2019
Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSEA method based on measurement correlation (MC) and linear minimum mean square error (LMMSE) for multichannel surface electromyography (sEMG) signal decomposition was developed in this study. This MC-LMMSE method gradually and iteratively increases the correlation between an optimized vector and a reconstructed matrix that is correlated with the measurement matrix. The performance of the pr... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2018 - Trang 1-12 - 2018
Optical Ultrasound Generation and Detection for Intravascular Imaging: A ReviewCombined ultrasound and photoacoustic imaging has attracted significant interests for intravascular imaging such as atheromatous plaque detection, with ultrasound imaging providing spatial location and morphology and photoacoustic imaging highlighting molecular composition of the plaque. Conventional ultrasound imaging systems utilize piezoelectric ultrasound transducers, which suffer from... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 2018 - Trang 1-14 - 2018
Locomotor Training in Subjects with Sensori‐Motor Deficits: An Overview of the Robotic Gait Orthosis LokomatIt is known that improvement in walking function can be achieved in patients suffering a movement disorder after stroke or spinal cord injury by providing intensive locomotor training. Rehabilitation robots allow for a longer and more intensive training than that achieved by conventional therapies. Robot assisted treadmill training also offers the ability to provide objective feedback with... ... hiện toàn bộ
Journal of Healthcare Engineering - Tập 1 Số 2 - Trang 197-216 - 2010
Tổng số: 10
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