Results 31 to 40 of about 2,787,379 (259)
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
Enhancing Bounding Box Regression for Object Detection: Dimensional Angle Precision IoU-Loss
Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy.
Hilmy Aliy Andra Putra +2 more
doaj +1 more source
Estimating loss functions of experts [PDF]
We propose a new and simple methodology to estimate the loss function associated with experts’ forecasts. Under the assumption of conditional normality of the data and the forecast distribution, the asymmetry parameter of the lin–lin and linex loss function can easily be estimated using a linear regression. This regression also provides an estimate for
Philip Hans Franses +2 more
openaire +5 more sources
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source
Printed circuit board (PCB) defect detection faces challenges like small target feature loss and severe background interference. To address these issues, this paper proposes PCES-YOLO, an enhanced YOLOv11-based model.
Heqi Yang +4 more
doaj +1 more source
Approximating the Gradient of Cross-Entropy Loss Function
A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that drive the training of the network. In this paper, we approximate
Li Li +2 more
doaj +1 more source
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
The loss function of sensorimotor learning [PDF]
Motor learning can be defined as changing performance so as to optimize some function of the task, such as accuracy. The measure of accuracy that is optimized is called a loss function and specifies how the CNS rates the relative success or cost of a particular movement outcome.
Konrad Paul, Körding, Daniel M, Wolpert
openaire +2 more sources
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark +9 more
wiley +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source

