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Generation of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy.
PLoS One
December 2024
Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
This paper presents a novel approach for generating virtual non-contrast planning computed tomography (VNC-pCT) images from contrast-enhanced planning CT (CE-pCT) scans using a deep learning model. Unlike previous studies, which often lacked sufficient data pairs of contrast-enhanced and non-contrast CT images, we trained our model on dual-energy CT (DECT) images, using virtual non-contrast CT (VNC CT) images as outputs instead of true non-contrast CT images. We used a deterministic method to convert CE-pCT images into pseudo DECT images for model application.
View Article and Find Full Text PDFAnomaly detection in virtual machine logs against irrelevant attribute interference.
PLoS One
January 2025
Shanghai Jiao Tong University, Shanghai, China.
Virtual machine logs are generated in large quantities. Virtual machine logs may contain some abnormal logs that indicate security risks or system failures of the virtual machine platform. Therefore, using unsupervised anomaly detection methods to identify abnormal logs is a meaningful task.
View Article and Find Full Text PDFInnovations that helped with accessing and delivering primary care for infants and young children during COVID-19.
BMC Prim Care
January 2025
Department of Family Medicine, School of Medicine, Queen's University, Kingston, ON, Canada.
Background: For children under age six, regular preventative primary care is needed for administration of vaccinations, surveillance of development, and early diagnosis and intervention for any potential health conditions or developmental delays. The COVID-19 pandemic created many barriers to providing and accessing primary care. While many studies have explored these barriers, it is important to understand how primary care adapted to ensure these crucial early-years appointments were not missed throughout the pandemic.
View Article and Find Full Text PDFComputational insights into marine natural products as potential antidiabetic agents targeting the SIK2 protein kinase domain.
SAR QSAR Environ Res
December 2024
Structural Biology and Biocomputing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, India.
Diabetes mellitus (DM) affects over 77 million adults in India, with cases expected to reach 134 million by 2045. Current treatments, including sulfonylureas and thiazolidinediones, are inadequate, underscoring the need for novel therapeutic strategies. This study investigates marine natural products (MNPs) as alternative therapeutic agents targeting SIK2, a key enzyme involved in DM.
View Article and Find Full Text PDFDual-energy CT in head and neck applications.
Neuroradiol J
January 2025
Division of Neurological Radiology, Department of Diagnostic and Therapeutic Radiology, Ramathibodi Hospital, Mahidol University, Thailand.
Dual-energy CT (DECT), also known as spectral CT, has advanced diagnostic capabilities in head and neck pathologies beyond those of conventional single-energy CT (SECT). By having images at two distinct energy levels, DECT generates virtual monoenergetic images (VMIs), iodine maps, and quantitative features such as iodine concentration (IC) and spectral Hounsfield unit attenuation curves (SHUAC), which leads to enhancing tissue characterization, reducing artifacts, and differentiating head and neck pathologies. This review highlights DECT's applications in evaluating head and neck squamous cell carcinoma (SCC), thyroid cartilage invasion, cervical lymph node metastasis, radiation therapy planning, post-treatment assessment, and role in other head and neck conditions, such as infection and sialolithiasis.
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