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

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology

no code implementations • 18 Apr 2022 • Yuchao Zheng, Chen Li, Xiaomin Zhou, HaoYuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.

Binary Classification Classification +4

Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features

no code implementations • 13 Nov 2018 • Haiqing Zhang, Aicha Sekhari, Yacine Ouzrout, Abdelaziz Bouras

The feature-by-feature comparison can help to select the weaker features and recommend the correct specifications from the beginning life of a product.

Opinion Mining