Skip to main content
. 2024 May 8;6(4):e230275. doi: 10.1148/ryai.230275

Figure 7:

Confusion matrices for hemorrhage detection performance of full-view images and reconstructed images with varying numbers of views without postprocessing and postprocessing with either U-Net or TV. Images were reconstructed with FBP from 2048 to 64 views. Each 4 × 4 field represents an individual confusion matrix corresponding to one sparse-view dataset and one processing method. FBP = filtered back projection, TV = total variation.

Confusion matrices for hemorrhage detection performance of full-view images and reconstructed images with varying numbers of views without postprocessing and postprocessing with either U-Net or TV. Images were reconstructed with FBP from 2048 to 64 views. Each 4 × 4 field represents an individual confusion matrix corresponding to one sparse-view dataset and one processing method. FBP = filtered back projection, TV = total variation.