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Found 4 papers, 2 papers with code
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
Conventional Computed Tomography (CT) imaging recognition faces two significant challenges: (1) There is often considerable variability in the resolution and size of each CT scan, necessitating strict requirements for the input size and adaptability of models.
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images.
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans
This paper investigates the application of deep learning models for lung Computed Tomography (CT) image analysis.
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans
However, the nature of the CT images is even more diverse since the resolution and number of the slices of a CT scan are determined by the machine and its settings.
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