Deep Convolutional Neural Networks for Chest Diseases Detection Tập 2018 - Trang 1-11 - 2018
Rahib H. Abiyev, Mohammad Khaleel Sallam Ma’aitah
Chest 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
using c... hiện toàn bộ
Locomotor Training in Subjects with Sensori‐Motor Deficits: An Overview of the Robotic Gait Orthosis Lokomat Tập 1 Số 2 - Trang 197-216 - 2010
Robert Riener, Lars Lünenburger, Irin C. Maier, Giorgio Colombo, V Dietz
It 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 within
one t... hiện toàn bộ
Systems and WBANs for Controlling Obesity Tập 2018 - Trang 1-21 - 2018
Maali Said Mohammed, Sandra Sendra, Jaime Lloret, Ignacio Bosch Reig
According 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 public
health... hiện toàn bộ
An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis Tập 2017 - Trang 1-16 - 2017
Li Xiong, Huiqi Li, Liang Xu
Cataract 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
detection of vit... hiện toàn bộ
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization Tập 2017 - Trang 1-27 - 2017
Madhusudana Rao Nalluri, K. Kannan, Manjul Manisha, Diptendu Sinha Roy
With 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 seen
a numb... hiện toàn bộ
Optical Ultrasound Generation and Detection for Intravascular Imaging: A Review Tập 2018 - Trang 1-14 - 2018
Tianrui Zhao, Lei Su, Wenfeng Xia
Combined 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 limited... hiện toàn bộ
Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Tập 2021 - Trang 1-12 - 2021
Yu Qin, Jing Wang, Yanjun Han, Ling Lu
CT 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 learning ... hiện toàn bộ
Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE Tập 2018 - Trang 1-12 - 2018
Yong Ning, Yuming Zhao, Akbarjon Juraboev, Ping Tan, Jin Ding, Jinbao He
A 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 proposed M... hiện toàn bộ
Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model Tập 2022 - Trang 1-10 - 2022
M.B. Sudhan, M. Sinthuja, S. Pravinth Raja, J. Amutharaj, G. Charlyn Pushpa Latha, S. Sheeba Rachel, T. Anitha, T. Rajendran, Yosef Asrat Waji
Glaucoma 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 diagnosis. In
t... hiện toàn bộ