no code implementations • 5 Aug 2024 • Andong Tan, Fengtao Zhou, Hao Chen
To the best of our knowledge, our "OpenCBM" is the first CBM with concepts of open vocabularies, providing users the unique benefit such as removing, adding, or replacing any desired concept to explain the model's prediction even after a model is trained.
1 code implementation • 26 Jul 2024 • Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie ZHU, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen
To address this gap, we established a most comprehensive benchmark to evaluate the performance of off-the-shelf foundation models across six distinct clinical task types, encompassing a total of 39 specific tasks.
no code implementations • 22 Jul 2024 • Yingxue Xu, Yihui Wang, Fengtao Zhou, Jiabo Ma, Shu Yang, Huangjing Lin, Xin Wang, Jiguang Wang, Li Liang, Anjia Han, Ronald Cheong Kin Chan, Hao Chen
To our knowledge, this is the first attempt to incorporate multimodal knowledge at the slide level for enhancing pathology FMs, expanding the modelling context from unimodal to multimodal knowledge and from patch-level to slide-level.
no code implementations • 28 Jun 2024 • Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen
The essence of precision oncology lies in its commitment to tailor targeted treatments and care measures to each patient based on the individual characteristics of the tumor.
no code implementations • 5 Jun 2024 • Andong Tan, Fengtao Zhou, Hao Chen
Therefore, a natural question is: can one construct a network that answers both "where" and "what" in a post-hoc manner to guarantee the model's performance?
1 code implementation • 3 Apr 2024 • Huajun Zhou, Fengtao Zhou, Hao Chen
In this paper, we propose a Cohort-individual Cooperative Learning (CCL) framework to advance cancer survival analysis by collaborating knowledge decomposition and cohort guidance.
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.
2 code implementations • CVPR 2024 • Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu
Unlike existing works that focus on pre-training powerful feature extractor or designing sophisticated instance aggregator, R$^2$T is tailored to re-embed instance features online.
1 code implementation • ICCV 2023 • Fengtao Zhou, Hao Chen
With the rapid advances in high-throughput sequencing technologies, the focus of survival analysis has shifted from examining clinical indicators to incorporating genomic profiles with pathological images.
1 code implementation • ICCV 2023 • Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu
Moreover, the student is used to update the teacher with an exponential moving average (EMA), which in turn identifies new hard instances for subsequent training iterations and stabilizes the optimization.
1 code implementation • 23 May 2022 • Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu
Then, the MLIC models of fewer categories are trained with these sub-tasks in parallel for respectively learning the joint patterns and the category-specific patterns of labels.
1 code implementation • 23 Dec 2020 • Fengtao Zhou, Sheng Huang, Yun Xing
Compared with single-label image classification, multi-label image classification is more practical and challenging.