12 citations
4 papers
Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation
Sikha O K, Meritxell Riera-Marín, Adrian Galdran +4
Image segmentation is a critical step in computational biomedical image analysis, typically evaluated using metrics like the Dice coefficient during training and validation. Howeve…
GPU-Based High-Performance Imaging for Mingantu Spectral RadioHeliograph
Ying Mei, Feng Wang, Wei Wang +6
As a dedicated solar radio interferometer, the MingantU SpEctral RadioHeliograph (MUSER) generates massive observational data in the frequency range of 400 MHz -- 15 GHz. High-perf…
High Performance Negative Database for Massive Data Management System of The Mingantu Spectral Radioheliograph
Congming Shi, Feng Wang, Hui Deng +3
As a dedicated synthetic aperture radio interferometer, the MingantU SpEctral Radioheliograph (MUSER), initially known as the Chinese Spectral RadioHeliograph (CSRH), has entered t…
OpenCluster: A Flexible Distributed Computing Framework for Astronomical Data Processing
Shoulin Wei, Feng Wang, Hui Deng +7
The volume of data generated by modern astronomical telescopes is extremely large and rapidly growing. However, current high-performance data processing architectures/frameworks ar…