Retrieved Generative Captioning for Medical Images-Reference-Cited by-同舟云学术

Retrieved Generative Captioning for Medical Images

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:20th International Conference on Content-based Multimedia Indexing
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Author:

Beddiar Djamila Romaissa¹^ORCID,Oussalah Mourad²^ORCID,Seppanen Tapio¹^ORCID

Affiliation:

1. Center for machine vision and signal analysis, university of Oulu, Finland

2. Center for machine vision and signal analysis, university of Oulu; Faculty of Medicine, University of Oulu, Finland

Funder

the Academy of Finland Profi5 DigiHealth project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617233.3617246

Reference22 articles.

1. Asma Ben Abacha , AG Seco De Herrera , Soumya Gayen , Dina Demner-Fushman , and Sameer Antani . 2017 . NLM at ImageCLEF 2017 caption task . In Working Notes of CLEF 2017-Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 11-14, 2017. , Vol. 1866. CEUR Workshop Proceedings. Asma Ben Abacha, AG Seco De Herrera, Soumya Gayen, Dina Demner-Fushman, and Sameer Antani. 2017. NLM at ImageCLEF 2017 caption task. In Working Notes of CLEF 2017-Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 11-14, 2017., Vol. 1866. CEUR Workshop Proceedings.

2. Automatic medical image interpretation: State of the art and future directions

3. Djamila-Romaissa Beddiar , Mourad Oussalah , and Tapio Seppänen . 2022. Automatic captioning for medical imaging (MIC): a rapid review of literature. Artificial Intelligence Review ( 2022 ), 1–58. Djamila-Romaissa Beddiar, Mourad Oussalah, and Tapio Seppänen. 2022. Automatic captioning for medical imaging (MIC): a rapid review of literature. Artificial Intelligence Review (2022), 1–58.

4. ACapMed: Automatic Captioning for Medical Imaging

5. Explainability in medical image captioning