Results 21 to 30 of about 897,087 (262)
Policy reforms are often unique, in the sense that it is hard to find comparable changes and circumstances that would make it possible to clearly identify their net consequences and thus unambiguously support causality attributions.
Marco Giuliani
doaj +1 more source
Explaining model decisions from medical image inputs is necessary for deploying deep neural network (DNN) based models as clinical decision assistants.
Weina Jin +3 more
doaj +1 more source
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 +56 more
wiley +1 more source
On the use of post-hoc tests in environmental and biological sciences: A critical review
Post-hoc comparison procedures are commonly used to determine which group means differ after a significant analysis of variance (ANOVA). Several post-hoc tests have been proposed, but their use requires certain assumptions to be met, such as normality ...
Codjo Emile Agbangba +3 more
doaj +1 more source
On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition
This work proposes a novel unsupervised self-organizing network, called the Self-Organizing Convolutional Echo State Network (SO-ConvESN), for learning node centroids and interconnectivity maps compatible with the deterministic initialization of Echo ...
Gin Chong Lee, Chu Kiong Loo
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ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
scReClassify: post hoc cell type classification of single-cell rNA-seq data
Background Single-cell RNA-sequencing (scRNA-seq) is a fast emerging technology allowing global transcriptome profiling on the single cell level.
Taiyun Kim +5 more
doaj +1 more source
Accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning. We developed a dynamic graph convolutional neural network (DGCNN)-based algorithm for automatic tooth segmentation and ...
Joon Im +7 more
doaj +1 more source
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Post hoc calibration of medical segmentation models
Background and objective Deep neural networks have become state-of-the-art in medical image segmentation. However, the calibration of these models is an often overlooked aspect of the model’s performance, even though calibrated outputs communicate an ...
Axel-Jan Rousseau +4 more
doaj +1 more source

