Skip to main content
. 2021 Aug 11;25(11):4128–4139. doi: 10.1109/JBHI.2021.3103839

TABLE I. 2-D vs. 3-D Lung Segmentation in COVID-19 ARDS.

SN Attributes 2-D ARDS Segmentation 3-D ARDS Segmentation
1 Acquisition 2-D CXR and 2-D CT slices 3-D Volume
2 Modality CXR and CT slice 3-D CT or PET
3 Frame Processing Single frame processing at a time Spatially oriented joint processing
4 Statistical Processing Pixel processing Voxel processing
5 Segmented Coverage Limited Complete
6 Architecture Type FC-DenseNet103 [57], UNet [72] DenseNet121-FPN [63]
7 Arch. Complexity Less complex (fewer #layers) More complex (more #layers)
8 Parameters Adapted ∼11.6 million ∼8 million
9 Convolution Filters 2-D Convolution filter 3-D Convolution filter
10 Processing Speed Faster, due to low volume Slower, due to the large volume
11 Memory Size Consumes low memory Consumes high memory