Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2023
  • Language: Python
  • Default Branch: main
  • Size: 69.4 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2023/107-Generating-Radiology-Reports-via-Memory-driven-Transformer/blob/main/

# 

 [Generating Radiology Reports via Memory-driven Transformer](https://arxiv.org/pdf/2010.16056.pdf) at EMNLP-2020 CBAM


## 

- `torch==1.7.1`
- `torchvision==0.8.2`
- `opencv-python==4.4.0.42`


## 
(IU X-Ray and MIMIC-CXR)MIMIC-CXRIU X-Ray

`IU X-Ray` [](https://drive.google.com/file/d/1c0BXEuDy8Cmm2jfN0YYGkQxFZd2ZIoLg/view?usp=sharing)  `data/iu_xray`




## 

 `bash train_iu_xray.sh` IU X-Ray


## 

 `bash test_iu_xray.sh` IU X-Ray

Owner

  • Name: SZU-AdvTech-2023
  • Login: SZU-AdvTech-2023
  • Kind: organization

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