Results 51 to 60 of about 4,920,690 (241)

Survey of Adversarial Attack and Defense for RBG and Infrared Multimodal Object Detection [PDF]

Jisuanji kexue
Object detection,as a fundamental classic task in the field of computer vision,has a wide range of applications.Deep learning based object detection algorithms have become the mainstream of current research due to their superior performance.However,most ...
ZHENG Haibin, LIN Xiuhao, CHEN Jingwen, CHEN Jinyin
doaj   +1 more source

RGBD Salient Object Detection, Based on Specific Object Imaging

Sensors, 2022
RGBD salient object detection, based on the convolutional neural network, has achieved rapid development in recent years. However, existing models often focus on detecting salient object edges, instead of objects.
Xiaolian Liao, Jun Li, Leyi Li, Caoxi Shangguan, Shaoyan Huang   +4 more
doaj   +1 more source

Provider and Parent Perspectives on Prioritizing the “Asking and Monitoring” Pediatric Cancer Psychosocial Standards of Care

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager, Natalie Koskela‐Staples, Emily M. Pariseau, Michele Scialla, Kimberly Buff, Lori Wiener, Victoria Sardi Brown, Anne E. Kazak, Kimberly S. Canter   +8 more
wiley   +1 more source

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak, Oded Gilad, Yael Feinstein, Sigal Nakav, Ofer Schiller, Joanne Yacobovich   +5 more
wiley   +1 more source

A Survey of Zero-Shot Object Detection

Big Data Mining and Analytics
Zero-Shot object Detection (ZSD), one of the most challenging problems in the field of object detection, aims to accurately identify new categories that are not encountered during training. Recent advancements in deep learning and increased computational
Weipeng Cao, Xuyang Yao, Zhiwu Xu, Ye Liu, Yinghui Pan, Zhong Ming   +5 more
doaj   +1 more source

Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega, Daniel J. Indelicato, Jeanette Parkes, Natia Esiashvili, Josué Hernández Benítez, Miriam Mikhail‐Lette, Olivera Cirajc Bjelac, Daniel Berger, Eva Ciurana, Yavuz Anacak, Lisbeth Cordero‐Mendez   +10 more
wiley   +1 more source

Aerial Data Exploration: An in-Depth Study From Horizontal to Oriented Viewpoint

IEEE Access
The development of technological devices, such as satellites and drones, has made it easier to collect images and videos from the air. From these vast data sources, the problem of detecting objects in aerial images is formed to serve situations: rescue ...
Nguyen D. Vo, Huong-Giang Ngo, Toan Le, Quang Nguyen, Danh-Du Doan, Binh Nguyen, Do Le-Huu, Nguyen Le-Duy, Huy Tran, Khanh-Duy Nguyen, Khang Nguyen   +10 more
doaj   +1 more source

Review of One-Stage Universal Object Detection Algorithms in Deep Learning [PDF]

Jisuanji kexue yu tansuo
In recent years, object detection algorithms have gradually become a hot research direction as a core task in the field of computer vision. They enable computers to recognize and locate target objects in images or video frames, and are widely used in ...
WANG Ning, ZHI Min
doaj   +1 more source

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source

Object detection model of coal mine rescue robot based on multi -scale feature fusio

Gong-kuang zidonghua, 2020
Traditional object detection model uses artificial object features, resulting in poor detection accuracy. Object detection model based on deep learning has high detection accuracy.
ZHAI Guodong, REN Cong, WANG Shuai, YUE Zhongwen, PAN Tao, JI Rujia   +5 more
doaj   +1 more source