Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection

arXiv:2403.11230v1 Announce Type: cross
Abstract: This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images. Classic deep learning approaches face challenges with varying slice counts and resolutions in CT images, a diversity arising from the utilization of assorted scanning equipment. Typically, predictions are made on single slices which are then combined for a comprehensive outcome. Yet, this method does not incorporate learning features specific to each slice, leading to a compromise in effectiveness. To …

abstract arxiv challenges convolutional neural network covid covid-19 cs.cv cs.lg deep learning deep learning techniques detection diversity eess.iv equipment face images network neural network predictions simple slice study type