Pneumonia indications in Covid19 patients using the TLA-transfer learning approach
Conference
Chadha, R, Kang, SS, Kaur, N et al. (2023). Pneumonia indications in Covid19 patients using the TLA-transfer learning approach
. 3RD INTERNATIONAL WORKSHOP ON NUCLEON STRUCTURE AT LARGE BJORKEN X, 2782 10.1063/5.0154800
Chadha, R, Kang, SS, Kaur, N et al. (2023). Pneumonia indications in Covid19 patients using the TLA-transfer learning approach
. 3RD INTERNATIONAL WORKSHOP ON NUCLEON STRUCTURE AT LARGE BJORKEN X, 2782 10.1063/5.0154800
COVID-19 pandemic affected more than 1 million people all over the world and killed more than 104 lakhs. The Covid 19 infection may develop pneumonia as it's after effect and it may lead the patient to a critical situation or even death. Therefore, it is very important to identify the symptoms and presence of pneumonia in Covid 19 affected patients. Here we are using the transfer-learning method to detect the presence of Pneumonia, and the architecture used is VGG16. The data set used for this study is chest X-Ray images from Kaggle, which is a publicly available open dataset.
