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Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
March 26, 2024, 4:47 a.m. | Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen
cs.CV updates on arXiv.org arxiv.org
Abstract: Medical report generation has achieved remarkable advancements yet has still been faced with several challenges. First, the inherent imbalance in the distribution of normal and abnormal cases may lead models to exhibit a biased focus on normal samples, resulting in unreliable diagnoses. Second, the frequent occurrence of common template sentences in the reports may overwhelm the critical abnormal information. Moreover, existing works focus on 2D chest X-rays, leaving CT report generation underexplored due to the …
abstract arxiv cases challenges cs.ai cs.cv dia distribution focus language language model large language large language model llama medical normal report samples type
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