19 citations · 28 across the 8 of their papers we have counts for
4 papers · 1 filter
EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
Qiguang Miao, Kang Liu, Zhuoqi Ma +6
Radiology reports are crucial for planning treatment strategies and facilitating effective doctor-patient communication. However, the manual creation of these reports places a sign…
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Xiaolu Kang +5
The automated generation of imaging reports proves invaluable in alleviating the workload of radiologists. A clinically applicable reports generation algorithm should demonstrate i…
Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation
Xiaolu Kang, Zhuoqi Ma, Kang Liu +2
Polyp segmentation for colonoscopy images is of vital importance in clinical practice. It can provide valuable information for colorectal cancer diagnosis and surgery. While existi…
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Mengmeng Liu +4
A radiology report comprises presentation-style vocabulary, which ensures clarity and organization, and factual vocabulary, which provides accurate and objective descriptions based…