Article of Ph.D Research Scholar Published in Journal “Pattern Recognition Letters” (Elsevier)
30-Dec-2019
A Research Article entitled " Deep-learning Framework to detect Lung Abnormality –A study with chest X-Ray and lung CT scan images" authored by Mr. Abhir Bhandary, PhD Research Scholar, Department of Computer Science & Engineering under the guidance of Dr. Ananth Prabhu G, Professor, Dept of Computer Science & Engineering has been published online in Elsevier Journal "Pattern Recognition Letters" Volume 129 2020.
Research Highlights:
• This work proposes a novel deep-learning framework to evaluate lung abnormalities
• This work implements:
(i) A deep-learning technique to assess the chest x-ray to examine
pneumonia
(ii) The deep-learning technique to assess the lung CT image to examine lung cancer.
• A detailed evaluation of the proposed technique (Modified AlexNet) with AlexNet, VGG16, VGG19 and ResNet50 are presented.
• This work also presents an Ensemble-Feature-Technique (EFT) to classify lung CT images with better accuracy.
