Results 51 to 60 of about 747,764 (277)

Co-Salient Object Detection From Multiple Images [PDF]

IEEE Transactions on Multimedia, 2013
In this paper, we propose a novel method to discover co-salient objects from a group of images, which is modeled as a linear fusion of an intra-image saliency (IaIS) map and an inter-image saliency (IrIS) map. The first term is to measure the salient objects from each image using multiscale segmentation voting. The second term is designed to detect the
Hongliang Li, Fanman Meng, King Ngi Ngan
openaire   +1 more source

Incidence and Risk Factors of Serious Osteonecrosis in Pediatric Acute Lymphoblastic Leukemia: A CYP‐C Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteonecrosis (ON) is a debilitating complication of acute lymphoblastic leukemia (ALL) therapy. While numerous studies have explored its incidence and associated risk factors, investigations using large‐scale cohorts remain important to characterize ON across heterogeneous populations.
Noémie de Villiers, Chantal Éthier, Caroline Laverdière, Nathalie Alos, Thai Hoa Tran, Marie‐Claude Pelland‐Marcotte   +5 more
wiley   +1 more source

Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector

, 2018
Multiple object tracking (MOT) in urban traffic aims to produce the trajectories of the different road users that move across the field of view with different directions and speeds and that can have varying appearances and sizes.
B Coifman, HW Kuhn, J-P Jodoin, K Bernardin, Luis M. Fuentes, PF Felzenszwalb, RE Kalman, S Aslani   +7 more
core   +1 more source

Multiple Object Class Detection with a Generative Model

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation allows to represent individual images as well as various objects classes in a single, scale and rotation invariant model.
Mikolajczyk, K, Leibe, B, Schiele, B
openaire   +5 more sources

Improving the Evaluation and Management of Transfusion‐Related Iron Overload in Children, Adolescents, and Young Adults Following Cancer Treatment or Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell, Allison Close, Guoli Zhou, Troy C. Quigg   +3 more
wiley   +1 more source

Potato precision planter metering system based on improved YOLOv5n-ByteTrack

Frontiers in Plant Science
Accurate assessment of the planting effect is crucial during the potato cultivation process. Currently, manual statistical methods are inefficient and challenging to evaluate in real-time.
Cisen Xiao, Changlin Song, Junmin Li, Min Liao, Yongfan Pu, Kun Du   +5 more
doaj   +1 more source

Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection

, 2019
In this paper, we propose to combine detections from background subtraction and from a multiclass object detector for multiple object tracking (MOT) in urban traffic scenes. These objects are associated across frames using spatial, colour and class label
Bilodeau, Guillaume-Alexandre, Ooi, Hui-Lee, Saunier, Nicolas   +2 more
core   +1 more source

Novel Genetic Risk Factor Identified for L‐Asparaginase‐Induced Pancreatitis in Pediatric Patients With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack, Wan‐Chun Chang, Miguel Cordova‐Delgado, Spencer J. Anderson, Jessica N. Trueman, Erika N. Scott, Catrina M. Loucks, Shahrad R. Rassekh, Gabriella S. S. Groeneweg, Michelle Higginson, Kathy Li, Fudan Miao, Derek Yau, Donna Johnston, Mounira Ibrahim, Maja Krajinovic, Thai Hoa Tran, Jessica Tewfik, Jean‐François Bussières, Thaïna‐Rafi Jean‐Baptiste, Denis Lebel, Lucie Pecheux, Bina Gyawali, Gregory Guilcher, Gesche Riabowol, Geert ’t Jong, Michelle Staub, Geoff Cuvelier, Kathleen Felton, Sara Khalaj, Michael Rieder, Awatif Abuzgaia, Tamorah Lewis, Himal Ghimire, Paul Nathan, Kerry Goralski, Ketan Kulkarni, Zara Forbrigger, Colin J. D. Ross, Bruce C. Carleton   +39 more
wiley   +1 more source

Investigation of Vision-Based Underwater Object Detection with Multiple Datasets

International Journal of Advanced Robotic Systems, 2015
In this paper, we investigate the potential of vision-based object detection algorithms in underwater environments using several datasets to highlight the issues arising in different scenarios.
Dario Lodi Rizzini, Fabjan Kallasi, Fabio Oleari, Stefano Caselli   +3 more
doaj   +1 more source

Upacicalcet: A Novel Intravenous Calcimimetic Agent for Patients Undergoing Hemodialysis With Secondary Hyperparathyroidism

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa, Daisuke Honda, Seigo Akari, Tadao Akizawa   +3 more
wiley   +1 more source