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Full-Text Articles in Bacterial Infections and Mycoses
Pneumonia Radiograph Diagnosis Utilizing Deep Learning Network, Wesley O'Quinn
Pneumonia Radiograph Diagnosis Utilizing Deep Learning Network, Wesley O'Quinn
Honors College Theses
Pneumonia is a life-threatening respiratory disease caused by bacterial infection. The goal of this study is to develop an algorithm using Convolutional Neural Networks (CNNs) to detect visual signals for pneumonia in medical images and make a diagnosis. Although Pneumonia is prevalent, detection and diagnosis are challenging. The deep learning network AlexNet was utilized through transfer learning. A dataset consisting of 11,318 images was used for training, and a preliminary diagnosis accuracy of 72% was achieved.
Investigation Of Cnt-Induced Escherichia Coli Lysis And Protein Release, Abdollah Mosleh
Investigation Of Cnt-Induced Escherichia Coli Lysis And Protein Release, Abdollah Mosleh
Graduate Theses and Dissertations
This research investigated the use of carbon nanotubes (CNTs) as a treatment to increase the permeability of a bacterial cell wall. Recombinant Escherichia coli BL21 (DE3) containing a plasmid that expressed Green Fluorescent Protein (GFP) and -lactamase were exposed to CNTs under various levels of agitation for different times. Fluorescence assay for GFP, optical absorbance for -lactamase activity, and Transmission Electron Microscopy (TEM) were used to determine the amount of released protein, and visually examine the permeability enhancement of the cells, respectively. It was found that more -lactamase was present in the culture fluid after treatment with CNTs in a …