Results 41 to 50 of about 2,406,817 (286)

Infrared Single-Frame Small Target Detection Based on Block-Matching

open access: yesSensors, 2022
The robust detection of small targets is one of the crucial techniques in an infrared system. It is still a challenge to detect small targets under complex backgrounds.
Yi Man, Qingyun Yang, Tao Chen
doaj   +1 more source

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

open access: yesPediatric 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   +23 more
wiley   +1 more source

Unordered Stacked Pillbox Detection Algorithm Based on Improved YOLOv8

open access: yesBig Data and Cognitive Computing
To enable fully automated medicine warehousing in intelligent pharmacy systems, accurately detecting disordered, stacked pillboxes is essential. This paper proposes a high-precision detection algorithm for such scenarios based on an improved YOLOv8 ...
Jiahang Pan   +5 more
doaj   +1 more source

A Path to the Direct Detection of sub-GeV Dark Matter Using Calorimetric Readout of a Superfluid $^4$He Target [PDF]

open access: yes, 2019
A promising technology concept for sub-GeV dark matter detection is described, in which low-temperature microcalorimeters serve as the sensors and superfluid $^4$He serves as the target material.
Biekert, A.   +4 more
core   +2 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie   +4 more
wiley   +1 more source

Lightweight Detection Method of Wheelset Tread Defects Based on Improved YOLOv7

open access: yesApplied Sciences
Accurate online inspection of train wheelset tread defects is challenging owing to the variety and position uncertainty of defects. This study develops an improved YOLOv7 model capable of inspecting various wheelset tread defects with high accuracy and ...
Peng Yang   +5 more
doaj   +1 more source

YOLOv5s_2E: Improved YOLOv5s for Aerial Small Target Detection

open access: yesIEEE Access, 2023
To address the issues of low accuracy in existing small object detection algorithms, an improved network model algorithm called YOLOv5s_2E is proposed.
Tao Shi, Yao Ding, Wenxu Zhu
doaj   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

open access: yesSensors, 2023
Target detection has always been a hotspot in image processing/computer vision research, and small-target detection is a frequently encountered problem in the field of target detection.
Lubin Wang   +3 more
doaj   +1 more source

Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers

open access: yes, 2018
This paper improves state-of-the-art visual object trackers that use online adaptation. Our core contribution is an offline meta-learning-based method to adjust the initial deep networks used in online adaptation-based tracking.
B Babenko   +14 more
core   +1 more source

Home - About - Disclaimer - Privacy