Search Results for author:
Found 2 papers, 1 papers with code
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models
Radiology Report Generation (R2Gen) demonstrates how Multi-modal Large Language Models (MLLMs) can automate the creation of accurate and coherent radiological reports.
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages
Scarcity of data and technological limitations for resource-poor languages in developing countries like India poses a threat to the development of sophisticated NLU systems for healthcare.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
