This application provides automated malaria detection capabilities using Convolutional Neural Networks (CNNs) to classify blood cell images as either parasitized (infected with malaria) or uninfected.
Abstract: We introduce a novel urban visualization system that integrates 3D urban model (CityGML) and $360^{\circ }$ walkthrough videos. By aligning the videos with the model and dynamically ...
Tom Sawyer SysML v2 Viewer port and port label settings provide added flexibility in how models are presented. Tom Sawyer SysML v2 Viewer multi-page printing provides flexibility to produce outputs ...
bDepartment of Gastroenterology, Tongji Institute of Digestive Disease, Tongji Hospital Affiliated to Tongji University, Medicine of Tongji University, Shanghai, China cCollege of Electronic and ...
This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...
Abstract: Visualizing and analyzing food cold chain data is essential to ensure food safety and quality in modern supply chains. However, the visualization and effective representation of such data is ...
cDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China dDepartment of Radiology, Guangdong Provincial People’ Hospital (Guangdong Academy of Medical ...
Objective: To explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model. Methods: This ...
1 Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China 2 Jiangsu Institute of Clinical Immunology, Jiangsu Key Laboratory of Clinical Immunology, The First ...
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