Results 91 to 100 of about 5,768,655 (280)

Injecting Hierarchy with U-Net Transformers

CoRR, 2019
The Transformer architecture has become increasingly popular over the past two years, owing to its impressive performance on a number of natural language processing (NLP) tasks. However, all Transformer computations occur at the level of word representations and therefore, it may be argued that Transformer models do not explicitly attempt to learn ...
David Donahue, Vladislav Lialin, Anna Rumshisky   +2 more
openaire   +2 more sources

U-net weights for CT lung segmentation (don't use these---we've updated)

, 2019
U-net weights for human CT lung ...
Nick Tustison (441144)
core   +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

Therapeutic 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, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

COVLIAS 3.5: integration of attention-based segmentation technique with fuzzy dilated convolutional neural networks for improved classification of chest X-ray scans for multiclass pneumonia diagnosis

Scientific Reports
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, Achin Jain, Shruti Vashist, Anurag Choubey, Kumar Shashvat, Luca Saba, Jasjit S. Suri   +6 more
doaj   +1 more source

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

Therapeutic 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, Kyomi Kanaya, Kiyomi Aizawa, Masanori Onoki, Hirofumi Ozeki, Kazuko Suzuki, Ai Hayashi, Tomohiko Asamura   +7 more
wiley   +1 more source

Система сегментації зображень за допомогою U-Net [PDF]

, 2022
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

تشخیص فروچاله‌ها و زمین‌لغزش‌ها با استفاده از روش‌های یادگیری عمیق و تصاویر پهپادی [PDF]

Muhandisī va mudirīyyat-i ābkhīz
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, حمیدرضا پورقاسمی, محسن حسینعلی زاده, وحید شفاهی   +3 more
doaj   +1 more source

Examples of segmentation process with U-Net before and after using the proposed pooling blocks.

, 2022
(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), Essam A. Rashed (11949249), Esraa A. Mohamed (11949246), Tarek Gaber (11949252)   +3 more
core   +1 more source

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

Therapeutic 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, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Image Segmentation Based On U-Net and Adjusted U-Nets

Highlights in Science, Engineering and Technology
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