Fig. 2From: Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theoryThe comprehensive framework for eye disease recognition. Fundus images are used as the common input data. ResNet50 and ResNet101generate BPAs for their respective basic probability assignment functions, which are subsequently fused using our ID-SET to yield the final diagnostic outcomes. The red boxes represent the basic probability assignment function m1, m2; The purple boxes are the recognition framework Θ, and the values of its elements correspond to the basic probability assignment BPAsBack to article page