Results 51 to 60 of about 5,543,646 (278)

U-Net-Based Models towards Optimal MR Brain Image Segmentation

open access: yesDiagnostics, 2023
Brain tumor segmentation from MRIs has always been a challenging task for radiologists, therefore, an automatic and generalized system to address this task is needed.
Rammah Yousef   +6 more
doaj   +1 more source

RS-U-Net.

open access: yes, 2023
Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy.
Zhen Wang (72451)   +3 more
core   +1 more source

Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier   +18 more
wiley   +1 more source

Fully automated condyle segmentation using 3D convolutional neural networks

open access: yesScientific 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   +6 more
doaj   +1 more source

An attempt at beating the 3D U-Net [PDF]

open access: yesSubmissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19, 2019
The U-Net is arguably the most successful segmentation architecture in the medical domain. Here we apply a 3D U-Net to the 2019 Kidney and Kidney Tumor Segmentation Challenge and attempt to improve upon it by augmenting it with residual and pre-activation residual blocks.
Isensee, Fabian, Maier-Hein, Klaus H.
openaire   +3 more sources

U-net weights for brain extraction

open access: yes, 2018
U-net weights for ANTsRNet-based brain ...
Nick Tustison (441144)   +1 more
core   +1 more source

Provider and Parent Perspectives on Prioritizing the “Asking and Monitoring” Pediatric Cancer Psychosocial Standards of Care

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager   +8 more
wiley   +1 more source

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

open access: yesJurnal 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. A dataset of
Haidhi Angkawijana Tedja, Onno W. Purbo
doaj   +1 more source

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

open access: yesRemote 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

Survival After Hematopoietic Stem Cell Transplantation in Diamond–Blackfan Anemia Syndrome: The Role of Iron Overload—A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens   +6 more
wiley   +1 more source

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