Results 41 to 50 of about 274,745 (274)

Is the U-NET Directional-Relationship Aware?

2022 IEEE International Conference on Image Processing (ICIP), 2022
Accepted at ICIP ...
Riva, Mateus, Gori, Pietro, Yger, Florian, Bloch, Isabelle   +3 more
openaire   +3 more sources

Light-Convolution Dense Selection U-Net (LDS U-Net) for Ultrasound Lateral Bony Feature Segmentation

Applied Sciences, 2021
Scoliosis is a widespread medical condition where the spine becomes severely deformed and bends over time. It mostly affects young adults and may have a permanent impact on them.
Sunetra Banerjee, Juan Lyu, Zixun Huang, Hung Fat Frank Leung, Timothy Tin-Yan Lee, De Yang, Steven Su, Yongping Zheng, Sai-Ho Ling   +8 more
doaj   +1 more source

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

, 2016
This paper introduces a network for volumetric segmentation that learns from sparsely annotated volumetric images. We outline two attractive use cases of this method: (1) In a semi-automated setup, the user annotates some slices in the volume to be ...
Abdulkadir, Ahmed, Brox, Thomas, Lienkamp, Soeren S., Ronneberger, Olaf, Çiçek, Özgün   +4 more
core   +1 more source

Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer

Scientific Reports, 2023
The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evaluated by pathologists. In this paper, a computer-aided patch-based deep learning tubule segmentation framework, named Tubule-U-Net, is developed and ...
Eren Tekin, Çisem Yazıcı, Huseyin Kusetogullari, Fatma Tokat, Amir Yavariabdi, Leonardo Obinna Iheme, Sercan Çayır, Engin Bozaba, Gizem Solmaz, Berkan Darbaz, Gülşah Özsoy, Samet Ayaltı, Cavit Kerem Kayhan, Ümit İnce, Burak Uzel   +14 more
doaj   +1 more source

Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation

Frontiers in Neuroinformatics, 2022
Medical image segmentation plays a vital role in computer-aided diagnosis procedures. Recently, U-Net is widely used in medical image segmentation. Many variants of U-Net have been proposed, which attempt to improve the network performance while keeping ...
Haoran Lu, Yifei She, Jun Tie, Jun Tie, Shengzhou Xu, Shengzhou Xu   +5 more
doaj   +1 more source

Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation

, 2019
Convolutional neural networks are state-of-the-art for various segmentation tasks. While for 2D images these networks are also computationally efficient, 3D convolutions have huge storage requirements and require long training time.
Angermann, Christoph, Gizewski, Elke, Haltmeier, Markus, Pereverzyev Jr, Sergiy, Steiger, Ruth   +4 more
core   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Relation U-Net

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
ISIB ...
He, Sheng, Bao, Rina, Grant, P. Ellen, Ou, Yangming   +3 more
openaire   +2 more sources

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 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

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