A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification

no code implementations • 21 Feb 2021 • Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Rahaman, HaoYuan Chen, YuDong Yao, Xiaoyan Li, Yong Zhang, Tao Jiang

The HCRF-AM model consists of an Attention Mechanism (AM) module and an Image Classification (IC) module.

Classification Ensemble Learning +4

A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis

no code implementations • 29 Sep 2020 • Yixin Li, Chen Li, Xiaoyan Li, Kai Wang, Md Mamunur Rahaman, Changhao Sun, Hao Chen, Xinran Wu, Hong Zhang, Qian Wang

In this review, we present a comprehensive overview of pathology image analysis based on the markov random fields (MRFs) and conditional random fields (CRFs), which are two popular random field models.