Генерация радиологических отчетов

task ID: radiologyreportgeneration

Related Papers

Learning to Generate Clinically Coherent Chest X-Ray Reports

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractAutomated radiology report generation has the potential to reduce the time clinicians spend manually reviewing radiographs and streamline clinical care. However, past work has shown that typical abstractive methods tend …...

32371

Cross-modal Memory Networks for Radiology Report Generation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMedical imaging plays a significant role in clinical practice of medical diagnosis, where the text reports of the images are essential in understanding them and facilitating later treatments. By generating …...

8183

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractNeural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying possible medical errors. However, existing report generation …...

21383

Reinforced Cross-modal Alignment for Radiology Report Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMedical images are widely used in clinical decision-making, where writing radiology reports is a potential application that can be enhanced by automatic solutions to alleviate physicians’ workload. In general, radiology …...

32949

ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper explores the task of radiology report generation, which aims at generating free-text descriptions for a set of radiographs. One significant challenge of this task is how to correctly …...

38375