Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles

no code implementations • 24 Oct 2023 • Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel

While deep learning models have achieved remarkable success across a range of medical image analysis tasks, deployment of these models in real clinical contexts requires that they be robust to variability in the acquired images.

Data Augmentation Image Classification +1

DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation

1 code implementation • CVPR 2021 • Xing Shen, Jirui Yang, Chunbo Wei, Bing Deng, Jianqiang Huang, Xiansheng Hua, Xiaoliang Cheng, Kewei Liang

Generally, a low-resolution grid is not sufficient to capture the details, while a high-resolution grid dramatically increases the training complexity.

Instance Segmentation Semantic Segmentation

Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method

no code implementations • 21 Mar 2020 • Xing Shen, Xiaoliang Cheng, Kewei Liang

In this paper, we propose a deep learning-based method, deep Euler method (DEM) to solve ordinary differential equations.