Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer

no code implementations • 17 May 2022 • Haiqing Zhang, Chen Li, Shiliang Ai, HaoYuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the existing histopathological detection and diagnosis.

Histopathological Image Classification Image Classification +3

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 for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

no code implementations • 27 Mar 2020 • Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang

Breast cancer is one of the most common and deadliest cancers among women.

Gastric histopathology image segmentation using a hierarchical conditional random field

no code implementations • 3 Mar 2020 • Changhao Sun, Chen Li, Jinghua Zhang, Muhammad Rahaman, Shiliang Ai, Hao Chen, Frank Kulwa, Yixin Li, Xiaoyan Li, Tao Jiang

This HCRF model is built up with higher order potentials, including pixel-level and patch-level potentials, and graph-based post-processing is applied to further improve its segmentation performance.

Image Segmentation Segmentation +2