Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver

Table 1 Works proposed for automated image analysis

Image analysis	Anatomical area	Modality	AI model	Ref.
Segmentation	Pancreas	MRI	CNN	[33,34,110]
			UDCGAN	[111]
			3D-Unet	[112]
	Liver	CT	SSC (no AI)	[36]
			PA (Atlas-no AI)	[39]
		MRI	CNN	[37,38,42,113]
			GAN	[43]
Registration	Liver	CT, MRI	CNN	[47]
			SG-DIR (no AI)	[48]
			Cycle-GAN + UR-Net	[46]
		4D-MRI	Non-rigid	[49]

MRI: Magnetic resonance imaging; CT: Computerized tomography; 4D-MRI: Four-dimensional magnetic resonance imaging; CNN: Convolutional neural network; UDCGAN: U-Type densely connected generation adversarial network; SCC: Sparse shape composition; AI: Artificial intelligence; PA: Probabilistic atlas; GAN: Generation adversarial network; SG-DIR: Structure-guided deformable image registration; UR-Net: Unsupervised registration network.