4 papers
ProtoSolo: Interpretable Image Classification via Single-Prototype Activation
Yitao Peng, Lianghua He, Hongzhou Chen
Although interpretable prototype networks have improved the transparency of deep learning image classification, the need for multiple prototypes in collaborative decision-making in…
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
Yitao Peng, Lianghua He, Die Hu
With the widespread application of deep learning technology in medical image analysis, the effective explanation of model predictions and improvement of diagnostic accuracy have be…
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations
Yitao Peng, Lianghua He, Die Hu +3
Interpretable deep learning models have received widespread attention in the field of image recognition. Due to the unique multi-instance learning of medical images and the difficu…
Decoupling Deep Learning for Interpretable Image Recognition
Yitao Peng, Yihang Liu, Longzhen Yang +1
The interpretability of neural networks has recently received extensive attention. Previous prototype-based explainable networks involved prototype activation in both reasoning and…