Publications by authors named "T C Khe Tran"

Objective: To identify clusters of women with similar trajectories of breast density change over four longitudinal assessments and to examine the association between these trajectories and the subsequent risk of breast cancer.

Design: Retrospective cohort study.

Setting: Data from the national breast cancer screening programme, which is embedded in the National Health Insurance Service database in Korea.

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We report nonadiabatic dynamics computations on CH initiated on a coherent superposition of the five lowest cationic states, employing the Quantum Ehrenfest method. In addition to the totally symmetric carbon-carbon double bond stretch and carbon-hydrogen stretches, we see that the three non-totally symmetric modes become stimulated; torsion and three different CH stretching patterns. Thus, a coherent superposition of states, of the type involved in an attochemistry experiment, leads to the stimulation of specific non-totally symmetric motions.

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Recently, the application of deep neural networks to detect anomalies on medical images has been facing the appearance of noisy labels, including overlapping objects and similar classes. Therefore, this study aims to address this challenge by proposing a unique attention module that can assist deep neural networks in focusing on important object features in noisy medical image conditions. This module integrates global context modeling to create long-range dependencies and local interactions to enable channel attention ability by using 1D convolution that not only performs well with noisy labels but also consumes significantly less resources without any dimensionality reduction.

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: Primary amebic meningoencephalitis (PAM) caused by is a rare and devastating infection of the central nervous system, often diagnosed late, due to its rapid progression and nonspecific symptoms. We report one of the youngest documented pediatric Vietnamese cases of PAM in a 10-month-old girl from the Mekong Delta, Vietnam. The diagnosis was confirmed through multiplex real-time PCR (MPL-rPCR), microscopy, and sequencing.

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Background: In our previous study, we demonstrated that headaches are highly prevalent among medical students in Vietnam. In the present study, we provide estimates of the associated symptom burden and impaired participation, utilizing these estimates to assess headache-related healthcare needs within this population.

Methods: The study followed the standardized methodology established by the Global Campaign against Headache.

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