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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
TLDR
This study assesses thestate-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Expand
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2-(2-Fluorobenzamido)benzoate ethyl ester (EFB-1) inhibits superoxide production by human neutrophils and attenuates hemorrhagic shock-induced organ dysfunction in rats.
Neutrophil activation after trauma-hemorrhagic shock (T/H) has been implicated in the development of multiple organ dysfunction (MOD). In this study, we report that a small chemical compound,Expand
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Synthesis and evaluation of benzoxazinone derivatives on activity of human neutrophil elastase and on hemorrhagic shock-induced lung injury in rats.
A new series of benzoxazinone analogs were designed, synthesized, and assayed to determine their effects on superoxide anion generation and neutrophil elastase (NE) release inExpand
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DSM-RX78, a new phosphodiesterase inhibitor, suppresses superoxide anion production in activated human neutrophils and attenuates hemorrhagic shock-induced lung injury in rats.
Neutrophils are activated following hemorrhagic shock and the accumulation of neutrophils in the lung is associated with lung injury. This research investigated the effects of a semisyntheticExpand
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Quantitatively Evaluation of Bioactive Components of Evodia Rutaecarpa (Tetradium Ruticarpum) in Different Harvesting Times
In this study, a high performance liquid chromatographic method was developed for simultaneous determination of four bioactive components in T ruticarpum collecting from various flowering seasons.Expand
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A built-in redundancy-analysis scheme for RAMs with 3D redundancy
TLDR
We present a BIRA scheme for random access memories (RAMs) with 3D redundancy to improve the yield of RAMs with cluster faults. Expand
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Learning software agent design for semiconductor tool group dispatching
AbsiracfGExploiting the knowledge-based sofmare agent technology, this paper presents a design and its prototype implementation for learning agent-based semiconductor tool group dispatching. Core toExpand
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Classification of parotid gland tumors by using multimodal MRI and deep learning
Various MRI sequences have shown their potential to discriminate parotid gland tumors, including but not limited to T2‐weighted, postcontrast T1‐weighted, and diffusion‐weighted images. In thisExpand
Solar Irradiance Forecasting Using Intelligent Technology
Because solar power is susceptible to clouds and substances in the air, the solar photovoltaic cannot produce stable power output. Solar irradiance is a measurement of the power output ofExpand