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Medical Report Generation on Six Medical Datasets Average Merged (test)

0.401BLEU-1X-RGen
0.342760.357880.3730.38812May 26, 2023

Evaluation results

MethodLinks
X-RGenModel Category=generalist models, batch size=1922023.050.4010.2440.160.110.1540.310.33
MSATModel Category=specialised models2023.050.3930.2370.1510.10.1390.3020.232
X-RGenModel Category=generalist models, batch size=962023.050.3830.2310.1510.1040.1490.3060.327
R2GenModel Category=generalist models, batch size=962023.050.3820.2280.1450.0960.1490.3010.28
R2GenModel Category=specialised models2023.050.3740.2290.1490.1010.1410.3120.257
R2GenCMNModel Category=specialised models2023.050.3710.2290.150.1010.1380.3070.255
X-RGenModel Category=specialised models2023.050.370.2270.150.1030.1440.3120.269
R2GenModel Category=generalist models, batch size=192, optimized on merged training dataset=true2023.050.3690.2250.1450.0980.1460.3050.274
TransformerModel Category=specialised models2023.050.3680.2230.1470.10.1340.3050.23
X-RGenModel Category=generalist models, batch size=162023.050.3630.2170.140.0950.1440.2960.264
R2GenModel Category=generalist models, batch size=162023.050.3450.20.1260.0820.1330.2890.222