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Found 3 papers, 1 papers with code
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations
Due to the unique multi-instance learning of medical images and the difficulty in identifying decision-making regions, many interpretability models that have been proposed still have problems of insufficient accuracy and interpretability in medical image disease diagnosis.
Adaptive Routing Between Capsules
Capsule network is the most recent exciting advancement in the deep learning field and represents positional information by stacking features into vectors.
Virtual Conditional Generative Adversarial Networks
All the generative paths share the same decoder network while in each path the decoder network is fed with a concatenation of a different pre-computed amplified one-hot vector and the inputted Gaussian noise.
