A new study by TSYS School computer science professor Rania Hodhod and research colleagues from Princess Nourah Bint Abdulrahman University (Saudi Arabia) and Ain Shams University (Egypt) extends the academic literature demonstrating how artificial intelligence, in particular deep learning, has proven to be efficient in medical diagnosis. The study, which appears in the current issue of Electronics, introduces a new hybrid deep learning model for pneumonia diagnosis based on chest CT scans. The core of the model developed by Hodhod and colleagues includes an expectation-maximization algorithm that works to extract the regions of interest from the chest CT scans while also preventing it from learning trivial solutions. To test their model, the researchers examined a dataset of chest X-rays for pneumonia from the Kaggle website. The data set contains 5,856 images with 1,583 normal cases and 4,273 pneumonia cases, with an imbalance ratio of 0.46. To better balance the data, Hodhod and colleagues implemented several operations including zooming, flipping, shifting and rotation, ultimately resulting in an imbalance ratio of only 0.028. The computational analysis of the results show that the proposed model is quite promising, as it provides an average accuracy value of 98.6 percent.
The long-awaited journal review being conducted by the Australian Business Deans Council (ABDC) has been released and there are a number of news items that relate to faculty in the Turner College. One of these is the ABDC's decision to now include Compensation and Benefits Review in its journal rankings. This is big news for the Turner College as its editor, Phil Bryant , is a professor of management in the Turner College. The ABDC is proposing that the journal enter its system for the first time as a C-rated journal. Acting Turner College Dean Tesa Leonce sits on the journal's editorial board, while Turner College management professor Mark James has guest-edited an issue of the journal. Published by SAGE, Compensation & Benefits Review is the leading journal for senior executives and professionals who design, implement, evaluate and communicate compensation and benefits policies and programs. The journal supports compensation and benefits specialists and academic ex...

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