1 code implementation • 5 Feb 2024 • Haifan Gong, Luoyao Kang, YiTao Wang, Xiang Wan, Haofeng Li
Extensive experiments on 6 datasets demonstrate nnMamba's superiority over state-of-the-art methods in a suite of challenging tasks, including 3D image segmentation, classification, and landmark detection.
1 code implementation • 22 Oct 2023 • Zihang Xu, Haifan Gong, Xiang Wan, Haofeng Li
To address the task, we propose a new UDA framework based on Appearance and Structure Consistency, named ASC.
1 code implementation • 22 Oct 2023 • Luoyao Kang, Haifan Gong, Xiang Wan, Haofeng Li
Furthermore, we propose a Prompt fine-Tuning (PT) scheme to transfer the knowledge from AD prediction task for progressive MCI (pMCI) diagnosis.
1 code implementation • 2 Jul 2022 • Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li
Thyroid nodule classification aims at determining whether the nodule is benign or malignant based on a given ultrasound image.
no code implementations • 14 May 2022 • Wenhao Huang, Haifan Gong, huan zhang, Yu Wang, Haofeng Li, Guanbin Li, Hong Shen
CT-based bronchial tree analysis plays an important role in the computer-aided diagnosis for respiratory diseases, as it could provide structured information for clinicians.
no code implementations • 22 Dec 2021 • Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang
This paper offers a comprehensive review of the research on Natural Language Generation (NLG) over the past two decades, especially in relation to data-to-text generation and text-to-text generation deep learning methods, as well as new applications of NLG technology.