Results 41 to 50 of about 2,643,411 (303)
FPNFuse: A lightweight feature pyramid network for infrared and visible image fusion
IET Image Processing, 2022 A novel deep learning structure of infrared and visible image fusion is proposed. In particular, feature pyramid networks are developed for enhanced feature extraction across multiple convolutional layers.
Zi‐Han Zhang +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga +3 more
wiley +1 more source
DCA‐based unimodal feature‐level fusion of orthogonal moments for Indian sign language dataset
IET Computer Vision, 2018 Sign language recognition system classifies signs made by hand gestures. An adequate number of features are required to represent the shape variations of sign language. As compared to individual feature set, a combination of features can be effective due
Garima Joshi, Renu Vig, Sukhwinder Singh
doaj +1 more source
New Feature-level Algorithm for a Face-fingerprint Integral Multi-biometrics Identification System
UHD Journal of Science and Technology, 2022 This article delves into the power of multi-biometric fusion for individual identification. a new feature-level algorithm is proposed that is the Dis-Eigen algorithm.
Bayan Omar +3 more
doaj +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
A Novel Interactive Fusion Method with Images and Point Clouds for 3D Object Detection
Applied Sciences, 2019 This paper aims at tackling the task of fusion feature from images and their corresponding point clouds for 3D object detection in autonomous driving scenarios based on AVOD, an Aggregate View Object Detection network. The proposed fusion algorithms fuse
Kai Xu +3 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion
Journal of Harbin University of Science and TechnologyNatural scene text detection is a fundamental research work in the field of image processing and has a wide range of applications. Currently, natural scene text detection usually adopts single-scale convolution and multi-scale feature fusion to ...
LIAN Zhe +3 more
doaj +1 more source
Sensors, 2018 In this paper, a novel feature selection and fusion framework is proposed to enhance the discrimination ability of gas sensor arrays for odor identification.
Changjian Deng +6 more
doaj +1 more source