Results 61 to 70 of about 5,768,673 (280)

Performance and Efficiency Comparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This study presents a comprehensive comparison of U-Net and Ghost U-Net for road crack segmentation, emphasizing their performance and memory efficiency across various data representation formats, including FP32, FP16, and INT8 quantization.
Haidhi Angkawijana Tedja, Onno W. Purbo
doaj   +1 more source

Fully automated condyle segmentation using 3D convolutional neural networks

Scientific Reports, 2022
The aim of this study was to develop an auto-segmentation algorithm for mandibular condyle using the 3D U-Net and perform a stress test to determine the optimal dataset size for achieving clinically acceptable accuracy.
Nayansi Jha, Taehun Kim, Sungwon Ham, Seung-Hak Baek, Sang-Jin Sung, Yoon-Ji Kim, Namkug Kim   +6 more
doaj   +1 more source

U-net weights for human CT lung segmentation

, 2019
U-net weights for CT human lung segmentation (background, left lung, right lung, trachea)
Nick Tustison (441144)
core   +1 more source

Structure of RS-U-Net.

, 2023
Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy.
Zhen Wang (72451), Xiao Chen (260187), Yuan An (177578), Hao Zhang (15339)   +3 more
core   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz, Alejandra Curbelo‐Paz, Sonia Morales, Elizabeth Contreras, Amy Houtrow, Scott H. Maurer, Judy C. Chang   +6 more
wiley   +1 more source

VDTAR-Net: A Cooperative Dual-Path Convolutional Neural Network–Transformer Network for Robust Highlight Reflection Segmentation

Computers
In medical endoscopic imaging, specular reflection (SR) frequently leads to local overexposure, obscuring essential tissue information and complicating computer-aided diagnosis (CAD).
Qianlong Zhang, Yue Zeng
doaj   +1 more source

Comparison of Three Convolution Neural Network Schemes to Retrieve Temperature and Humidity Profiles from the FY4A GIIRS Observations

Remote Sensing, 2022
FY4A/GIIRS (Geostationary Interferometric Infrared Sounder) is the first infrared hyperspectral atmospheric vertical sounder onboard a geostationary satellite.
Shuhan Yao, Li Guan
doaj   +1 more source

U-net weights for proton lung MRI segmentation

, 2018
U-net weights for proton lung MRI segmentation described in this paper: https://www.ncbi.nlm.nih.gov/pubmed ...
Nick Tustison (441144)
core   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad, Ohad Atia, Osama Tanous, Dafna Brik Simon, Michal Dvori, Miriam Cohen, Tracie A. Goldberg, Efraim Bilavsky, Joanne Yacobovich, Orna Steinberg‐Shemer   +9 more
wiley   +1 more source

A Variational U-Net for Weather Forecasting

CoRR, 2021
Not only can discovering patterns and insights from atmospheric data enable more accurate weather predictions, but it may also provide valuable information to help tackle climate change. Weather4cast is an open competition that aims to evaluate machine learning algorithms' capability to predict future atmospheric states.
Pak Hay Kwok, Qi Qi
openaire   +4 more sources