Sagar Kora Venu, a Ph.D. candidate at Harrisburg University of Science and Technology, presented a paper at the 13th International Conference on Agents and Artificial Intelligence conference held on 2/5/2021.
The following is an excerpt from the paper, titled “An Ensemble-based Approach by Fine-Tuning the Deep Transfer Learning Models to Classify Pneumonia from Chest X-Ray Images.”
“Pneumonia is caused by viruses, bacteria, or fungi that infect the lungs, which, if not diagnosed, can be fatal and lead to respiratory failure. More than 250,000 individuals in the United States, mainly adults, are diagnosed with pneumonia each year, and 50,000 die from the disease. Chest Radiography (X-ray) is widely used by radiologists to detect pneumonia. It is not uncommon to overlook pneumonia detection for a well-trained radiologist, which triggers the need for improvement in the diagnosis’s accuracy. In this work, we propose using transfer learning, which can reduce the neural network’s training time and minimize the generalization error.”
The full paper can be found here.
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