LI Xinran

LI Xinran

Ph.D. applicant in NLP and Large Language Models. Dual-degree M.S. student at Waseda University (Japan) and Dalian University of Technology (China). Research focus: ABSA, ERC, GNNs, Curriculum Learning.

CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer

Published in 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024

Link: https://ieeexplore.ieee.org/abstract/document/10822262

Recommended citation: Xinran Li, Xiujuan Xu, Yu Liu, Xiaowei Zhao. (2024). "CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer." IEEE BIBM 2024, Lisbon, Portugal.