Results 41 to 50 of about 6,939,271 (302)

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

EBTNet: Efficient Bilateral Token Mixer Network for Fetal Cardiac Ultrasound Image Segmentation

IEEE Access
Fetal cardiac ultrasound apical 4-chamber (A4C) view segmentation with deep learning technique is a crucial auxiliary to diagnosing congenital heart disease.
Yuchi Pan, Liang Niu, Xu Yang, Qiang Niu, Binghua Chen   +4 more
doaj   +1 more source

Global Co-Occurrence Feature and Local Spatial Feature Learning for Skeleton-Based Action Recognition

Entropy, 2020
Recent progress on skeleton-based action recognition has been substantial, benefiting mostly from the explosive development of Graph Convolutional Networks (GCN).
Jun Xie, Wentian Xin, Ruyi Liu, Qiguang Miao, Lijie Sheng, Liang Zhang, Xuesong Gao   +6 more
doaj   +1 more source

A GNN Architecture With Local and Global-Attention Feature for Image Classification

IEEE Access, 2023
Convolutional neural network (CNN) is quite popular in computer vision, especially in image classification with excellent performance. However, limited by the convolution kernels, CNN-based classifiers are hard to extract global feature from the original
Zhengshun Fei, Junhao Guo, Haibo Gong, Lubin Ye, Eric Attahi, Bingqiang Huang   +5 more
doaj   +1 more source

Global and Regional Features [PDF]

, 2014
This chapter covers the metrics of general feature description, often used for whole images and image regions, including textural, statistical, model based, and basis space methods. Texture, a key metric, is a well-known topic within image processing, and it is commonly divided into structural and statistical methods.
openaire   +1 more source

Integration of local features into a global shape

Vision Research, 2001
It is a well-established fact that the cortical filters selective for spatial frequency and orientation have a limited spatial extent. The present study investigated how information from local filters is integrated into global shapes. Specifically, we were interested in whether identification of a global pattern consisting of small oriented, spatially ...
Saarinen, Jukka, Levi, Dennis M
openaire   +2 more sources

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Citrus Fruit Feature Extraction using Colpromatix Color Code Model [PDF]

, 2017
Classification of citrus fruit more precisely and economically under natural illumination circumstances. The aim of this paper was to develop a robust and feature extraction techniques to discover citrus fruit features with different dimensions and under
Dr. M. Renuka Devi, V. Kavitha
core  

Boosting LiDAR Point Cloud Object Detection via Global Feature Fusion

Information
To address the limitation of receptive fields caused by the use of local convolutions in current point cloud object detection methods, this paper proposes a LiDAR point cloud object detection algorithm that integrates global features. The proposed method
Xu Zhang, Fengchang Tian, Jiaxing Sun, Yan Liu   +3 more
doaj   +1 more source

Rich‐scale feature fusion network for salient object detection

IET Image Processing, 2023
Fully convolutional neural networks‐based salient object detection has recently achieved great success with its performance benefits from the effective use of multi‐layer features.
Fengming Sun, Junjie Cui, Xia Yuan, Chunxia Zhao   +3 more
doaj   +1 more source