MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation

Yu Qiu(Nankai University), Jing Xu(Nanjing University of Science and Technology), Yun Liu(Nankai University), Shijie Li(University of Bonn)
IEEE Transactions on Neural Networks and Learning Systems
December 29, 2022
10.1109/tnnls.2022.3230821
Cited by 46

Related Papers

Biological roles of RNA m5C modification and its implications in Cancer immunotherapy
|Biomarker Research|2022|235
Chain-of-Verification Reduces Hallucination in Large Language Models
|Unknown|2024|177
Recipes for Building an Open-Domain Chatbot
|Unknown|2021|171
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
|Briefings in Bioinformatics|2021|156
MoADNet: Mobile Asymmetric Dual-Stream Networks for Real-Time and Lightweight RGB-D Salient Object Detection
|IEEE Transactions on Circuits and Systems for Video Technology|2022|128