GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection

no code implementations • 29 Apr 2021 • HaoYuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek

In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic global detection of gastric cancer images.

Adversarial Attack General Classification +3

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

no code implementations • 21 Feb 2021 • Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, YuDong Yao, Marcin Grzegorzek

This paper reviews the methods of WSI analysis based on machine learning.

BIG-bench Machine Learning Classification +2

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