Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA

Documenti analoghi

• Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data
  di: Zhong, Zhusi, et al.
  Pubblicazione: (2024)
• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
  di: Liu, Kang, et al.
  Pubblicazione: (2024)
• X-ray2CTPA: Leveraging Diffusion Models to Enhance Pulmonary Embolism Classification
  di: Cahan, Noa, et al.
  Pubblicazione: (2024)
• Using Unsupervised Domain Adaptation Semantic Segmentation for Pulmonary Embolism Detection in Computed Tomography Pulmonary Angiogram (CTPA) Images
  di: Lin, Wen-Liang, et al.
  Pubblicazione: (2026)
• Region-specific Risk Quantification for Interpretable Prognosis of COVID-19
  di: Zhong, Zhusi, et al.
  Pubblicazione: (2024)