Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images
Journal:
arXiv
Published Date:
Jul 6, 2025
Abstract
COVID-19 is a severe and acute viral disease that can cause symptoms
consistent with pneumonia in which inflammation is caused in the alveolous
regions of the lungs leading to a build-up of fluid and breathing difficulties.
Thus, the diagnosis of COVID using CT scans has been effective in assisting
with RT-PCR diagnosis and severity classifications. In this paper, we proposed
a new data quality control pipeline to refine the quality of CT images based on
GAN and sliding windows. Also, we use class-sensitive cost functions including
Label Distribution Aware Loss(LDAM Loss) and Class-balanced(CB) Loss to solve
the long-tail problem existing in datasets. Our model reaches more than 0.983
MCC in the benchmark test dataset.
