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Wenjia Cai

3 accepted papers

2024

A Hybrid CNN-Transformer for Focal Liver Lesion Classification

ICASSP 2024accepted

The early diagnosis of focal liver lesions (FLLs) plays a key role in the successful treatment of liver cancer. To effectively diagnose focal liver lesions, we used contrast-enhanced ultrasound (CEUS) to diagnose FLLs. A hybrid CNN and Transformer network is used to extract local and global spatio-t…

Cited by 0SourceScholar
2022

Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation

CVPR 2022poster

Automatic generation of ophthalmic reports using data-driven neural networks has great potential in clinical practice. When writing a report, ophthalmologists make inferences with prior clinical knowledge. This knowledge has been neglected in prior medical report generation methods. To endow models…

Cited by 55PDFcodeScholar
2021

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark

NeurIPS 2021poster

The automatic generation of long and coherent medical reports given medical images (e.g. Chest X-ray and Fundus Fluorescein Angiography (FFA)) has great potential to support clinical practice. Researchers have explored advanced methods from computer vision and natural language processing to incorpor…

Cited by 48SourcecodeScholar