Results 61 to 70 of about 1,131 (195)
Course syllabus for MEDT 351 Blood Bank Course description: Blood Bank is one of the most important areas in the Clinical Laboratory. It is imperative that the medical technologist understand the immunohematological concepts for blood administration ...
Bonnema, Beverly +3 more
core +1 more source
The critical role of global electron density transfer (GEDT) in increasing the reaction rate of polar organic reactions has been studied within the framework of Molecular Electron Density Theory (MEDT). To this end, the series of the polar Diels–Alder (P-
Luis R. Domingo, Mar Ríos-Gutiérrez
doaj +1 more source
Reforming of steam, production of syngas from biomass sources, and efficient utilization of excess solid waste generated during the biomass process by harnessing solar energy. ABSTRACT Minimizing the detrimental effects of global warming and pollution from fossil fuel consumption is essential to meet the growing demand for energy and fresh water ...
Milad Imandoust +4 more
wiley +1 more source
Conceptual DFT-Based Computational Peptidology of Marine Natural Compounds: Discodermins A–H
A methodology based on the concepts that arise from Density Functional Theory named Conceptual Density Functional Theory (CDFT) was chosen for the calculation of some global and local reactivity descriptors of the Discodermins A–H family of marine ...
Norma Flores-Holguín +2 more
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This paper provides a systematic summary and reference for researchers in related fields, and we look forward to designing more efficient and stable medical image segmentation network models based on the U‐Net network. ABSTRACT Medical images often exhibit low and blurred contrast between lesions and surrounding tissues, with considerable variation in ...
Wang Jiangtao +2 more
wiley +1 more source
A Review of Deep Learning‐Based Medical Image Segmentation
Comprehensive overview of supervised medical image segmentation using deep learning. Summary of technological innovations and empirical results. Exploration of future research directions for deep learning‐based medical image segmentation. ABSTRACT Medical image segmentation, the process of precisely delineating regions of interest (e.g. organs, lesions,
Xinyue Zhang +3 more
wiley +1 more source
The Diels-Alder cycloaddition of cyclopentadienone derivative 3-methyl-5,6,7,8-tetrahydroazulen-1(4H)-one with a series of maleimide derivatives is studied using Molecular Electron Density Theory at the B3LYP/6-311++G(d,p) computational level. Conceptual Density Functional Theory analysis predicts low reaction polarity, which is confirmed by global ...
Jaddi, Abdeljabbar +5 more
openaire +2 more sources
A novel automatic segmentation method is proposed for improving the spatial consistency of scattered multiple sclerosis (MS) lesions in variant appearances. Incorporating spatial correlation learning and global context learning across different image features can further improve the spatial distinction of MS lesions in MRI and help us to classify their
Zhanlan Chen +4 more
wiley +1 more source
MedTS-TTT: Test-Time Training for Medical Time Series Classification
Medical time series (MedTS) signals such as electroencephalography (EEG) and electrocardiography (ECG) support many clinical applications. However, substantial subject-level heterogeneity often induces subject-level distribution shift, causing a fixed parameter set to generalize poorly to unseen individuals. Compared with domain adaptation methods that
Chen, Mingzhi, Gui, Yiyu, Luo, Guibo
openaire +2 more sources
MEDT 423 Clinical Microbiology
Course syllabus for MEDT 423 Clinical Microbiology Course description: This course is a continued study of the micro-organisms encountered in the clinical microbiology laboratory.
Coleman, Clementine
core +1 more source

