IEEE Siouxland Section Speaker Event: AI tools in healthcare: can machine read lung diseases in chest radiographs?
Join us for drinks and appetizers and to learn about "AI tools in healthcare" with Dr. KC Santosh from University of South Dakota (USD) at Old Market Eatery in Brookings, SD.
This event is free for IEEE members and will include one drink and appetizers. Non-members are most welcome as well and would be responsible for their own drinks.
More information about the presentation and speaker:
ABSTRACT: Image is worth a thousand words. Image analysis has several different applications; healthcare, for instance. Fundamental image processing mechanics let us focus on how we can actually represent visual images to be processed by machine learning algorithms. More specifically, the talk aims to provide how data scientist (image) works with an emphasis on image processing and pattern recognition in the domain: healthcare.
In this context, we will present an automatic chest X-rays screening system to detect pulmonary abnormalities using chest X-rays (CXR) in non-hospital settings. In particular, the primary motivator of the project is the need for screening HIV+ populations in resource-constrained regions for the evidence of Tuberculosis (TB). The system analyzes thoracic edge map, shapes as well as symmetry that exist between the lung sections of the posteroanterior CXRs. For classification, we have used several different classifiers, such as support vector machine, Bayesian network, multilayer perceptron neural networks, random forest and convolutional neural network. Using CXR benchmark collections made available by the National Institutes of Health (NIH) and National Institute of Tuberculosis and Respiratory Diseases, India, the proposed method outperforms the previously reported state-of-the-art methods by more than 5% in terms of accuracy and 3% in terms of area under the ROC curve (AUC).
On the whole, the talk will consider state-of-the-art works in image analysis, pattern recognition and machine learning under the framework of healthcare and/or medical imaging. Having all these topics, we will provide/summarize how AI and machine learning have helped healthcare more advanced than it used to be.
SPEAKER: KC Santosh (IEEE Senior member) has been employed at the University of South Dakota (USD) as an Assistant Professor since 2015. In addition, he currently serves as the Graduate Program Coordinator (GPC) for the department of computer science. Before joining the USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Univ. de Lorraine in direct collaboration with ITESOFT, France (industrial partner). He has received his PhD diploma in computer science from INRIA - Univ. de Lorraine (France), MS in Computer Science from Thammasat Univ. (Thailand). Dr. Santosh has demonstrated expertise in pattern recognition, image processing, computer vision, artificial intelligence and machine learning with various applications in medical image analysis, graphics recognition, document information content exploitation and biometrics. He published more than 110 peer-reviewed research articles, two authored books (Springer) and edited several books (Springer, Elsevier and CRC press), journal issues (Springer) and conference proceedings (Springer). Dr. Santosh serves as an associate editor of the international journal of machine learning & cybernetics (Springer).
For more information, please visit: http://kc-santosh.org
Date and Time
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- Date: 16 Nov 2018
- Time: 05:30 PM to 07:30 PM
- All times are (UTC-06:00) Central Time (US & Canada)
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- Co-sponsored by IEEE Siouxland Section
- Starts 07 November 2018 04:01 PM
- Ends 16 November 2018 04:00 PM
- All times are (UTC-06:00) Central Time (US & Canada)
- No Admission Charge
Agenda
5:30pm-6:30pm: Social Hour with Appetizers and Drinks
6:30pm-7:30pm: Talk and Questions