1 code implementation • 27 Jun 2022 • Yushan Zheng, Jun Li, Jun Shi, Fengying Xie, Zhiguo Jiang
Transformer has been widely used in histopathology whole slide image (WSI) classification for the purpose of tumor grading, prognosis analysis, etc.
1 code implementation • 27 Jun 2022 • Jun Li, Yushan Zheng, Kun Wu, Jun Shi, Fengying Xie, Zhiguo Jiang
In this paper, we proposed a novel contrastive representation learning framework named Lesion-Aware Contrastive Learning (LACL) for histopathology whole slide image analysis.
no code implementations • 16 Apr 2021 • Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi, Chenghai Xue
While, it is challenging and yet significant in clinical applications to retrieve diagnostically relevant regions from a database that consists of histopathological whole slide images (WSIs) for a query ROI.
no code implementations • 8 Sep 2015 • Jianwei Luo, Jianguo Li, Jun Wang, Zhiguo Jiang, Yurong Chen
Results show that deep attribute approaches achieve state-of-the-art results, and outperforms existing peer methods with a significant margin, even though some benchmarks have little overlap of concepts with the pre-trained CNN models.
no code implementations • 23 Mar 2015 • Haopeng Zhang, Tarek El-Gaaly, Ahmed Elgammal, Zhiguo Jiang
Due to large variations in shape, appearance, and viewing conditions, object recognition is a key precursory challenge in the fields of object manipulation and robotic/AI visual reasoning in general.