Chest X-rays and clinical reports analysis using DL

Code used for the papers:

Preprint: A Critical Analysis Of Nlp and Clinical Correctness Metrics to Measure Progress on X-Ray Report Generation. Pablo Pino, Denis Parra, Jocelyn Dunstan, and Cecilia Besa Submitted to Artificial Intelligence in Medicine (AIM) Available at SSRN: https://ssrn.com/abstract=4052411 or http://dx.doi.org/10.2139/ssrn.4052411

Clinically Correct Report Generation from Chest X-rays using Templates \ Pablo Pino, Denis Parra, Cecilia Besa and Claudio Lagos \ MLMI at MICCAI 2021, oral presentation, best paper candidate \ Links: Pre-print, video (10 min), slides, poster

Inspecting state of the art performance and NLP metrics in image-based medical report generation \ Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa and Sergio Uribe \ LXAI at NeurIPS 2020 \ Links: Poster

And master thesis:

Report generation from chest X-Rays: analysis of NLP metrics and clinically correct template-based model \ Pablo Pino \ Advisor: Denis Parra \ Computer Science Department at PUC Chile

Docs

• Check our web demo from the AIM paper, see source code
• Find shared data from the papers in the data/ folder

Citations

@InProceedings{pino2021clinically,
  author="Pino, Pablo
  and Parra, Denis
  and Besa, Cecilia
  and Lagos, Claudio",
  editor="Lian, Chunfeng
  and Cao, Xiaohuan
  and Rekik, Islem
  and Xu, Xuanang
  and Yan, Pingkun",
  title="Clinically Correct Report Generation from Chest X-Rays Using Templates",
  booktitle="Machine Learning in Medical Imaging",
  year="2021",
  publisher="Springer International Publishing",
  address="Cham",
  pages="654--663",
  isbn="978-3-030-87589-3",
}

@article{pino2020inspecting,
  title={Inspecting state of the art performance and {NLP} metrics in image-based medical report generation},
  author={Pino, Pablo and Parra, Denis and Messina, Pablo and Besa, Cecilia and Uribe, Sergio},
  journal={arXiv preprint arXiv:2011.09257},
  year={2020},
  note={{I}n LXAI at NeurIPS 2020}
}

Research group

Visit our research group at: https://haivis.ing.puc.cl