2 papers
eess.IV2026
Cross-modal triage network: a multimodal deep learning framework for severity-based triage and visual explainability in chest radiographs
Zinah Ghulam, Richa Mittal, Eranga Ukwatta
Purpose: Increased number of chest radiograph (CXR) scans create a triage bottleneck, queueing urgent examinations behind routine ones. Existing AI tools are predominantly unimodal…
cs.CV2026
FZ-VLM: A Two Stage Florence-Zephyr Vision Language Model Framework for Pulmonary Nodule Characterization and Clinical Decision Making
Pramit Dutta, Jenita Manokaran, Richa Mittal +2
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and Computed Tomography (CT) is a primary imaging tool for screening and followup assessment. A…