Results 81 to 90 of about 5,768,673 (280)
U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features while simultaneously refining high-level features with finer details.
Yaopeng Peng, Milan Sonka, Danny Z. Chen
openaire +3 more sources
U-NetCTS: U-Net deep neural network for fully automatic segmentation of 3D CT DICOM volume
, 2022 The accurate segmentation of computed tomography (CT) scan volume is an essential step in radiomic analysis as well as in developing advanced surgical planning techniques with numerous medical applications.
O. Dorgham +11 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine +21 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source
KAN–U-Net: An Enhanced KAN-Fused U-Net for Medical Image Segmentation
IET SoftwareThe U-Net model has demonstrated strong performance in the field of medical image segmentation. Moreover, several enhanced and improved versions of this model have emerged by incorporating transformer or MLP modules.
Cheng Zhu +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
DKA-U-Net: Dynamic-Kernel Attention U-Net for Brain Tumor Segmentation From MRI
IEEE AccessThe precise delineation of tumor boundaries and the accurate segmentation of small tumor subregions are two pivotal factors influencing the performance of brain tumor segmentation from MRI.
Junjie Zhu, Heng Liu
doaj +1 more source
Dense-U-net network structure.
A brain tumor magnetic resonance image processing algorithm can help doctors to diagnose and treat the patient’s condition, which has important application significance in clinical medicine. This paper proposes a network model based on the combination of
Xiaoli Yang (314226) +4 more
core +1 more source
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 +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