Tianyangg / HAS-Bt

A Multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide image

HAS-Bt

HAS-Bt stands for Histopathology Auxilliary System for Brain Tumour classification

The is the code repository for the paper:

A Multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide image Lei Jin*, Tianyang Sun, Xi Liu, Zehong Cao, Yan Liu, Hong Chen, Yixin Ma, Jun Zhang, Yaping Zou, Yingchao Liu*, Feng Shi*, Dinggang Shen*, Jinsong Wu

Link to paper and Authors

// to be specified

Abstract

// update once accepted

Table of Contents

Feature-to-label MIL model is demonstrated in

• .HAS_slide/network/MultiAttentionNoFe.py

Image-to-label MIL model is demonstrated in

• .HAS_slide/network/ImageMIL.py

Resource Availability

Data related to this study including WSIs, and patch images are available from the lead contact upon reasonable request. For any request please contact the corresponding author