Jul 22, 2024 � We propose the Fuzzy-guided Multi-granularity Deep Neural Network (FMDNN). Inspired by the multi-granular diagnostic approach of pathologists.

Jul 22, 2024 � We propose the Fuzzy-guided Multi-granularity Deep Neural Network (FMDNN). Inspired by the multi-granular diagnostic approach of pathologists.

Aug 6, 2024 � In experiments on multiple public datasets, our model exhibits a significant improvement in accuracy over commonly used classification methods�...

Aug 13, 2024 � A fuzzy-guided cross-attention module guides universal fuzzy features toward multi-granular features. We propagate these features through an�...

Jul 21, 2024 � The text discusses advancements in histopathological image classification, focusing on multi-granularity theory and fuzzy set theory. Multi-�...

Jun 7, 2024 � In experiments on multiple public datasets, our model exhibits a significant improvement in accuracy over commonly used classification methods�...

A fuzzy-guided cross-attention module guides universal fuzzy features toward multi-granular features. We propagate these features through an encoder to all�...

Ding W. et al. FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification // IEEE Transactions on Fuzzy Systems. 2024.

Jul 22, 2024 � The paper presents a new deep learning model called FMDNN, which is designed for classifying histopathological images.

As shown in the figure below, FMDNN consists of three modules, Multi-granular Feature Extraction Module conducts feature extraction on the input image at�...