Table 3.

Performance of models on DDTI and Stanford CINE datasets. Bolded values highlight the model with the best performance on a certain metric.

	DDTI		Stanford CINE
	Average Across Positive Images		Average Across Positive Images
Model Name	DSC +	IoU	DSC +	IoU
UNet-AD	0.494±0.242	0.364±0.223	0.456±0.264	0.335±0.236
NestedUNet-AD	0.502±0.247	0.372±0.227	0.476±0.275	0.356±0.244
SResUNet-AD	0.576±0.224	0.438±0.212	0.535±0.251	0.404±0.230
SGUNet-AD	0.513±0.257	0.384±0.232	0.530±0.271	0.405±0.248
AttUNet-AD	0.504±0.234	0.370±0.215	0.462±0.264	0.339±0.232
MSU-Net-AD	0.527±0.325	0.421±0.290	0.569±0.322	0.463±0.294
UNet	0.639±0.203	0.501±0.211	0.616±0.245	0.488±0.242
NestedUNet	0.614±0.195	0.470±0.195	0.609±0.258	0.483±0.249
SResUNet	0.604±0.214	0.466±0.215	0.601±0.251	0.472±0.242
Wang et al.	0.728±0.241	0.617±0.243	0.701±0.303	0.609±0.299
SGUNet	0.587±0.202	0.443±0.197	0.563±0.253	0.433±0.234
AttUNet	0.649±0.191	0.509±0.204	0.612±0.244	0.483±0.240
MSU-Net	0.705±0.191	0.575±0.210	0.658±0.269	0.542±0.267