SISRNet identifies medically salient regions in chest X-rays via cross-modal alignment and uses them to guide both masked image modeling and report generation, improving clinical accuracy metrics on IU-Xray and MIMIC-CXR.
Automatic medical report generation based on cross-view attention and visual-semantic long short term memorys,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Semantically Informed Salient Regions Guided Radiology Report Generation
SISRNet identifies medically salient regions in chest X-rays via cross-modal alignment and uses them to guide both masked image modeling and report generation, improving clinical accuracy metrics on IU-Xray and MIMIC-CXR.