SpineContextResUNet achieves Dice scores of 88.17% on VerSe2020 and 88.13% on CTSpine1K while using ~1.7M parameters and running inference on commodity hardware with 8GB RAM.
Resunet-a: A deep learning framework for semantic segmentation of remotely sensed data.ISPRS Journal of Photogrammetry and Remote Sensing, 162:94–114, 2020
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SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
SpineContextResUNet achieves Dice scores of 88.17% on VerSe2020 and 88.13% on CTSpine1K while using ~1.7M parameters and running inference on commodity hardware with 8GB RAM.