Results 91 to 100 of about 7,417,847 (369)

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Object Detection

International Journal of Advanced Research in Science, Communication and Technology
With applications in image identification, augmented reality, autonomous driving, and surveillance, Itis crucial to this computer-vision. In this project uses sophisticated deep learning techniques to accomplish the thing detecting in Python. It makes use of neural networks using pre-trained convolutions (CNN) models, It is Used YOLO (You Only Look ...
Peng Long, Yu Song
openaire   +2 more sources

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

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

, 2020
In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications. Existing performance evaluations of MOT methods usually separate the object tracking step from the object detection step by ...
Cai, Zhaowei, Chang, Ming-Ching, Du, Dawei, Lei, Zhen, Lim, Jongwoo, Lyu, Siwei, Qi, Honggang, Wen, Longyin, Yang, Ming-Hsuan   +8 more
core   +1 more source

Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features

, 2017
Recently, deep Convolutional Neural Networks (CNN) have demonstrated strong performance on RGB salient object detection. Although, depth information can help improve detection results, the exploration of CNNs for RGB-D salient object detection remains ...
Barnes, Nick, Feng, David, Shigematsu, Riku, You, Shaodi   +3 more
core   +1 more source

Feature-Enhanced CenterNet for Small Object Detection in Remote Sensing Images [PDF]

, 2022
Tianjun Shi, Jinnan Gong, Jianming Hu, Xiyang Zhi, Wei Zhang, Yin Zhang, Pengfei Zhang, Guangzheng Bao   +7 more
openalex   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 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

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