Results 71 to 80 of about 6,939,271 (302)

A dual quantum image feature extraction method: PSQIFE

open access: yesIET Image Processing, 2022
In digital image processing, feature extraction occupies a very important position, which is related to the effect of image classification or recognition. At present, effective quantum feature extraction methods are relatively lacking.
Jie Su, Shuhan Lu, Lin Li
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

GLFNet: Attention Mechanism-Based Global–Local Feature Fusion Network for Micro-Expression Recognition

open access: yesEntropy
Micro-expressions are extremely subtle and short-lived facial muscle movements that often reveal an individual’s genuine emotions. However, micro-expression recognition (MER) remains highly challenging due to its short duration, low motion intensity, and
Meng Zhang   +3 more
doaj   +1 more source

Global feature-based attention to orientation

open access: yesJournal of Vision, 2011
Selective attention to motion direction can modulate the strength of direction-selective sensory responses regardless of their spatial locations. Although such spatially global modulation is thought to be a general property of feature-based attention, few studies have examined visual features other than motion.
Taosheng, Liu, Youyang, Hou
openaire   +2 more sources

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa   +7 more
wiley   +1 more source

Breast Cancer Histopathology Images Classification Through Multi-View Augmented Contrastive Learning and Pre-Learning Knowledge Distillation

open access: yesIEEE Access
Breast cancer is one of the most common malignant tumors in women, and accurate classification of benign and malignant breast cancer histopathology images is critical for diagnosis and treatment.
Jialong Si, Wei Jia, Haifeng Jiang
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

Layered And Feature Based Image Segmentation Using Vector Filtering [PDF]

open access: yes, 2012
A Sensor is a device that reads the attribute and changes it into a signal that can be simply examined by an observer or instrument. Sensors are worked in daily objects like touch-sensitive elevator buttons, road traffic monitoring system and so on. Each
Mr. M.Sivakumar, Dr. S.Kannan
core  

DGC-TnT: Enhancing Point Cloud Object Classification by Dynamic Graph Convolutions With Transformer in Transformer

open access: yesIEEE Access
Recently, deep learning neural networks have been widely used in object classification. The process of object classification typically involves extracting features from the point cloud using neural networks and integrating these features into a global ...
Chien-Chou Lin, Po-Yu Chen
doaj   +1 more source

Background-Supported Global Feature Response Image Classification Network [PDF]

open access: yesJisuanji kexue yu tansuo
The lack of background information support in current image classification methods leads to the limited classification accuracy of the model. Aiming at this problem, a background-supported global feature response image classification network (BGRNet) is ...
JIANG Wentao, LI Weida, ZHANG Shengchong
doaj   +1 more source

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