1 code implementation • 1 Apr 2024 • Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li, Hao Chen
The limited availability of modalities for each patient would cause information loss, adversely affecting predictive accuracy.
1 code implementation • 15 Mar 2024 • Zhikang Wang, Yumeng Zhang, Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song
G-HANet is expected to be explored as a useful tool by the research community to address the current bottleneck of insufficient histo-genomic data pairing in the context of cancer prognosis and precision oncology.
1 code implementation • 8 Mar 2024 • Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen
Histopathology serves as the gold standard in cancer diagnosis, with clinical reports being vital in interpreting and understanding this process, guiding cancer treatment and patient care.
1 code implementation • 3 Jan 2024 • Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen
Despite advantages of multimodal learning for cancer survival prediction, massive redundancy in multimodal data prevents it from extracting discriminative and compact information: (1) An extensive amount of intra-modal task-unrelated information blurs discriminability, especially for gigapixel whole slide images (WSIs) with many patches in pathology and thousands of pathways in genomic data, leading to an ``intra-modal redundancy" issue.
1 code implementation • ICCV 2023 • Yingxue Xu, Hao Chen
Survival prediction is a complicated ordinal regression task that aims to predict the ranking risk of death, which generally benefits from the integration of histology and genomic data.
no code implementations • 21 Nov 2022 • Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang
Compared with the ground distance of the conventional domain-level OT, the image-level OT captures structural associations among local regions of images that are beneficial to classification.
no code implementations • 8 Jun 2020 • Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall
Zero-shot learning uses semantic attributes to connect the search space of unseen objects.
no code implementations • 13 May 2020 • Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang, Wendy Hall
Finally, a new framework for Chinese herbal recognition is proposed as a new application of APN.
no code implementations • 22 Apr 2019 • Mingnan Luo, Guihua Wen, Yang Hu, Dan Dai, Yingxue Xu
Global Average Pooling (GAP) is used by default on the channel-wise attention mechanism to extract channel descriptors.
no code implementations • 23 Dec 2018 • Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang
According to the characteristics of herbal images, we proposed the competitive attentional fusion pyramid networks to model the features of herbal image, which mdoels the relationship of feature maps from different levels, and re-weights multi-level channels with channel-wise attention mechanism.