Results 91 to 100 of about 5,768,673 (280)
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Enhanced glaucoma detection using U-Net and U-Net+ architectures using deep learning techniques
This study compares multiple image processing and deep learning methods to demonstrate an enhanced approach to glaucoma diagnosis. The approach focuses on noise reduction using median filtering and optic disc segmentation utilizing the U-Net and U-Net ...
B.P. Pradeep kumar +2 more
doaj +1 more source
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
Система сегментації зображень за допомогою U-Net [PDF]
У цій дипломній роботі було розроблено та створено систему сегментації зображень за допомогою U-Net. В ході виконання роботи було досліджено різні модифікації класичної архітектури U-Net.
Зубець, Микола Васильович
core +1 more source
This study aims to improve pneumonia diagnosis by integrating attention-based U-Net models for lung segmentation with fuzzy logic-enhanced CNNs for classification.
Arun K. Dubey +6 more
doaj +1 more source
Examples of segmentation process with U-Net before and after using the proposed pooling blocks.
(a) original images. (b) labels. (c)segmentation with U-Net. (d)segmentation with U-Net+VPB. (e) segmentation with U-Net+ AVG-MAX VPB.
Omar Karam (11949255) +3 more
core +1 more source
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
تشخیص فروچالهها و زمینلغزشها با استفاده از روشهای یادگیری عمیق و تصاویر پهپادی [PDF]
مقدمه زمینلغزشها و فروچالهها به زیرساختهای اجتماعی، اقتصادی و طبیعی آسیب میزنند. این فرایندها تأثیرات مستقیم و غیرمستقیم بر زیرساختهای مهم، از جمله مناطق مسکونی دارند و بر تغییر کاربری اراضی و مهاجرت از روستا به شهر تأثیرگذارند.
نرگس کریمینژاد +3 more
doaj +1 more source
Image Segmentation Based On U-Net and Adjusted U-Nets
Image segmentation, the process of dividing an image into various areas is quite crucial recently. Numerous industries, including robotics, remote sensing, and medical imaging, have applications for this task. In recent years, deep learning techniques, especially U-shaped networks (U-nets), have shown remarkable success in solving image segmentation ...
openaire +1 more source
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

