no code implementations • 1 Apr 2024 • Jian Jiao, Yu Dai, Hefei Mei, Heqian Qiu, Chuanyang Gong, Shiyuan Tang, Xinpeng Hao, Hongliang Li
So we propose SNRO, which slightly shifts the features of new classes to remember old classes.
1 code implementation • 2 Oct 2023 • Gongping Chen, Lei Zhao, Xiaotao Yin, Liang Cui, Jianxun Zhang, Yu Dai
The AI-based assisted diagnosis programs have been widely investigated on medical ultrasound images.
1 code implementation • 26 Jan 2023 • Linfeng Xu, Qingbo Wu, Lili Pan, Fanman Meng, Hongliang Li, Chiyuan He, Hanxin Wang, Shaoxu Cheng, Yu Dai
However, the deficiency of related dataset hinders the development of multi-modal deep learning for egocentric activity recognition.
1 code implementation • 5 Nov 2022 • Gongping Chen, Lu Zhou, Jianxun Zhang, Xiaotao Yin, Liang Cui, Yu Dai
Breast cancer is one of the common cancers that endanger the health of women globally.
2 code implementations • 15 Sep 2022 • Gongping Chen, Lei LI, Jianxun Zhang, Yu Dai
However, variable tumor morphology, blurred boundary, and similar intensity distributions bring challenges for accurate segmentation of breast tumors.
no code implementations • 28 Apr 2022 • Gongping Chen, Yuming Liu, Yu Dai, Jianxun Zhang, Liang Cui, Xiaotao Yin
Breast lesions segmentation is an important step of computer-aided diagnosis system, and it has attracted much attention.
2 code implementations • 26 Apr 2022 • Gongping Chen, Yu Dai, Jianxun Zhang, Moi Hoon Yap
Different from existing attention mechanisms, the hybrid adaptive attention module can guide the network to adaptively select more robust representation in channel and space dimensions to cope with more complex breast lesions segmentation.