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cs.CV2024★ 2 cited
R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation
Xiao Wang, Yuehang Li, Fuling Wang +3
Inspired by the tremendous success of Large Language Models (LLMs), existing Radiology report generation methods attempt to leverage large models to achieve better performance. The…
eess.IV2024
Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
Lili Huang, Dexin Ma, Xiaowei Zhao +4
The label annotations for chest X-ray image rib segmentation are time consuming and laborious, and the labeling quality heavily relies on medical knowledge of annotators. To reduce…
eess.IV2024
Pre-training on High Definition X-ray Images: An Experimental Study
Xiao Wang, Yuehang Li, Wentao Wu +5
Existing X-ray based pre-trained vision models are usually conducted on a relatively small-scale dataset (less than 500k samples) with limited resolution (e.g., 224 224).…