Results 41 to 50 of about 295,660 (323)

DXM‐TransFuse U-net: Dual cross-modal transformer fusion U-net for automated nerve identification

Computerized Medical Imaging and Graphics, 2022
Accurate nerve identification is critical during surgical procedures for preventing any damages to nerve tissues. Nerve injuries can lead to long-term detrimental effects for patients as well as financial overburdens. In this study, we develop a deep-learning network framework using the U-Net architecture with a Transformer block based fusion module at
Xie, Baijun, Milam, Gary, Ning, Bo, Cha, Jaepyeong, Park, Chung Hyuk   +4 more
openaire   +3 more sources

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

, 2018
In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of ...
Liang, Jianming, Siddiquee, Md Mahfuzur Rahman, Tajbakhsh, Nima, Zhou, Zongwei   +3 more
core   +1 more source

TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation

, 2021
8 page, 3 ...
Chang, Yao, Menghan, Hu, Guangtao, Zhai, Xiao-Ping, Zhang   +3 more
openaire   +2 more sources

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

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

, 2018
Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water-fat MRI scans of the abdomen was investigated, using two different neural network architectures.
Ahlström, Håkan, Bergsten, Peter, Forslund, Anders, Hedström, Anders, Kullberg, Joel, Langner, Taro, Mörwald, Katharina, Weghuber, Daniel   +7 more
core   +1 more source

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

Diagnostics, 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, Shakir Khan, Gaurav Gupta, Tamanna Siddiqui, Bader M. Albahlal, Saad Abdullah Alajlan, Mohd Anul Haq   +6 more
doaj   +1 more source

Kidney Segmentation of Histopathological Images with Edge-Aware U-Net to Support Medical Diagnosis and Treatment Planning

Bioengineering
Accurate segmentation of renal anatomical structures is essential for informed clinical decision-making in nephropathology, supporting precise diagnosis, treatment planning, and longitudinal monitoring of kidney diseases. In this work, we propose an Edge-
Esraa Hassan, Amira Samy Talaat, Shaimaa M. Hassan, Sameer Alqassimi, M. A. Elsabagh   +4 more
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

Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images

, 2018
Positron Emission Tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation correction is necessary during image reconstruction. For PET/MR hybrid systems,
Fakhri, Georges El, Gong, Kuang, Kim, Kyungsang, Li, Quanzheng, Seo, Youngho, Yang, Jaewon   +5 more
core   +1 more source

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source