Application of deep learning in image recognition and diagnosis of gastric cancer

Table 3 Comparison of recognition performance of convolutional neural network, full convolutional neural network, and ensemble convolutional neural network models

Methods	DICE/%	VOE/%	RMSD/mm
Toshiaki Hirasawa (CNN)	0.5738	0.5977	6.491
Hiroya Ueyama (CNN)	0.6327	0.5373	7.257
Jang Hyung Lee (FCN)	0.8102	0.319	2.468
Bum-Joo Cho (FCN)	0.9350	0.1221	-
Dat Tien Nguyen (ECNN)	0.8947	0.113	-

CNN: Convolutional neural network; FCN: Full convolutional neural network; ECNN: Evolutionary convolutional neural network; DICE: DICE Similarity Coefficient; VOE: Volumetric Over-lap Error; RMSD: Root-Mean-Square Deviation.