no code implementations • 25 Mar 2024 • Lingdong Shen, Fangxin Shang, Xiaoshuang Huang, Yehui Yang, Haifeng Huang, Shiming Xiang
Universal segmentation models is a solution, which aim to generalize across the diverse modality of medical images, yet their effectiveness often diminishes when applied to OOD data modalities and tasks, requiring intricate fine-tuning of model for optimal performance.
1 code implementation • 1 Dec 2023 • Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma
Large-scale public datasets with high-quality annotations are rarely available for intelligent medical imaging research, due to data privacy concerns and the cost of annotations.
no code implementations • 12 Jun 2022 • Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu
To model the segmentation-diagnosis interaction, SeA-block first embeds the diagnosis feature based on the segmentation information via the encoder, and then transfers the embedding back to the diagnosis feature space by a decoder.
1 code implementation • 10 Jun 2022 • Junde Wu, Huihui Fang, Fangxin Shang, Zhaowei Wang, Dalu Yang, Wenshuo Zhou, Yehui Yang, Yanwu Xu
In this paper, we propose a novel neural network framework to learn OD/OC segmentation from multi-rater annotations.
no code implementations • 8 Jun 2022 • Fangxin Shang, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Yanwu Xu
Pre-training is essential to deep learning model performance, especially in medical image analysis tasks where limited training data are available.
1 code implementation • 16 May 2022 • Fangxin Shang, Siqi Wang, Xiaorong Wang, Yehui Yang
Nearly all the top solutions rely on 2D convolutional networks and sequential models (Bidirectional GRU or LSTM) to extract intra-slice and inter-slice features, respectively.
1 code implementation • 14 Feb 2022 • Junde Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu
Motivated by the observation that OD/OC segmentation is often used for the glaucoma diagnosis clinically, in this paper, we propose a novel strategy to fuse the multi-rater OD/OC segmentation labels via the glaucoma diagnosis performance.
1 code implementation • 3 Aug 2020 • Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang
As a result, it exploits more discriminative features for DR grading.
1 code implementation • 27 Feb 2019 • Fangxin Shang, Hao Zhang
Empirically, we demonstrate the effectiveness of alternating training with synthetic and real gradients after periodic warm restarts on language modeling tasks.