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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556455 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0137488 | PLOS |
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Front Public Health
December 2024
School of Management Engineering and Business, Hebei University of Engineering, Handan, China.
In the rapid urbanization process in China, due to reasons such as employment, education, and family reunification, the number of mobile population without registered residence in the local area has increased significantly. By 2020, the group had a population of 276 million, accounting for over 20% of the total population, making significant contributions to urban economic development and resource optimization. However, the health status of migrant populations is affected by unique issues such as occupational risks and socio-economic disparities, which play an important role in personal welfare, social stability, and sustainable economic growth.
View Article and Find Full Text PDFImpact of annotation imperfections and auto-curation for deep learning-based organ-at-risk segmentation.
Phys Imaging Radiat Oncol
October 2024
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiation Oncology, De Boelelaan 1117, Amsterdam, the Netherlands.
Background And Purpose: Segmentation imperfections (noise) in radiotherapy organ-at-risk segmentation naturally arise from specialist experience and image quality. Using clinical contours can result in sub-optimal convolutional neural network (CNN) training and performance, but manual curation is costly. We address the impact of simulated and clinical segmentation noise on CNN parotid gland (PG) segmentation performance and provide proof-of-concept for an easily implemented auto-curation countermeasure.
View Article and Find Full Text PDFPredicting recovery in patients with mild traumatic brain injury and a normal CT using serum biomarkers and diffusion tensor imaging (CENTER-TBI): an observational cohort study.
EClinicalMedicine
September 2024
Department of Medicine, University of Cambridge, Cambridge, UK.
Background: Even patients with normal computed tomography (CT) head imaging may experience persistent symptoms for months to years after mild traumatic brain injury (mTBI). There is currently no good way to predict recovery and triage patients who may benefit from early follow-up and targeted intervention. We aimed to assess if existing prognostic models can be improved by serum biomarkers or diffusion tensor imaging metrics (DTI) from MRI, and if serum biomarkers can identify patients for DTI.
View Article and Find Full Text PDFClinical feasibility of Ethos auto-segmentation for adaptive whole-breast cancer treatment.
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Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France.
Introduction: Following a preliminary work validating the technological feasibility of an adaptive workflow with Ethos for whole-breast cancer, this study aims to clinically evaluate the automatic segmentation generated by Ethos.
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Paediatrics, Azienda Ospedaliera Sant'Andrea, Roma, Italy.
Aim: Aiming to offer a diagnostic tool to aid examiners with correct hip typing and decision-making about patient management, members of the Board of the International Interdisciplinary Consensus Committee on DDH Evaluation (ICODE - https://www.icode.expert), introduced the cross-platform mobile application (Android and iOS) called "ICODE Hip US Calculator".
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