Results 101 to 110 of about 8,755 (208)
Purpose: The use of deep learning to auto-contour organs at risk (OARs) in gynecologic radiation treatment is well established. Yet, there is limited data investigating the prospective use of auto-contouring in clinical practice. In this study, we assess
Abigayle C. Kraus, MD +10 more
doaj +1 more source
Abstract Background Online adaptive radiotherapy (ART) relies on cone‐beam computed tomography (CBCT) imaging for daily treatment adaptation, but CBCT's physical limitations can compromise contour delineation and dose calculation accuracy. The relationship between image quality metrics and clinical ART workflow accuracy remains unclear.
Sunhwa Kim +5 more
wiley +1 more source
Abstract Background Accurate and consistent delineation of target and normal structures is essential for safe and effective radiotherapy. Compared with manual or atlas‐based methods, deep learning‐based auto‐contouring has demonstrated improved efficiency and reduced interobserver variability. However, its performance can vary across anatomical regions
Sara Endo +4 more
wiley +1 more source
A cohomology-based Gromov–Hausdorff metric approach for quantifying molecular similarity
We introduce a cohomology-based Gromov–Hausdorff ultrametric method to analyze 1-dimensional and higher-dimensional (co)homology groups, focusing on loops, voids, and higher-dimensional cavity structures in simplicial complexes, to address typical ...
JunJie Wee +3 more
doaj +1 more source
A machine learning model utilizing choroid plexus (CP) radiomics effectively distinguishes Alzheimer's disease (AD) from mild cognitive impairment (MCI) and predicts MCI‐to‐AD progression risk. After integration with clinical features, the model exhibits strong predictive performance. The CP radiomics features correlate significantly with cognitive and
Feiyue Yin +13 more
wiley +1 more source
A new coastline formed during the 2021 eruption of La Palma quickly eroded, becoming crenellated and with pocket beaches, then retreated more gradually as resistant interiors of the lava were exposed. In contrast, a second thicker lava delta changed more gradually, highlighting the importance of lithology to coastal erosion.
Zhongwei Zhao +6 more
wiley +1 more source
As the importance of trajectory analysis arises in video surveillance, it becomes crucial to define the dissimilarity measure between two trajectories.
Yongjin Kwon +2 more
doaj +1 more source
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
The feasibility principle in community ecology
The structure and function of ecological communities emerge from interactions among populations within specific environmental contexts. Yet we still lack general principles that explain how communities assemble, which patterns we should expect, and when transitions occur across diverse settings.
Serguei Saavedra
wiley +1 more source
Abstract Lung cancer is the leading cause of global cancer‐related morbidity and mortality, with tobacco smoking as its strongest risk factor. Nuclear factor erythroid 2‐related factor 2 (NRF2) is a redox‐regulated transcription factor frequently dysregulated in non‐small cell lung cancer (NSCLC), leading to aggressive disease and resistance to therapy.
Jouni Härkönen +14 more
wiley +1 more source

