"FFA-IR: Towards an Explainable and Reliable Medical Report Generation ..."

Mingjie Li et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-11-20

- view
  - electronic edition @ neurips.cc (open access)
- export record
  dblp key:
  - conf/nips/LiCLWZWCLPLZLSV21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LiCLWZWCLPLZLSV21
Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang:
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. NeurIPS Datasets and Benchmarks 2021

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.