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WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images
March 13, 2024, 4:47 a.m. | Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Zhongyi Shui, Lin Yang
cs.CL updates on arXiv.org arxiv.org
Abstract: Whole slide images are the foundation of digital pathology for the diagnosis and treatment of carcinomas. Writing pathology reports is laborious and error-prone for inexperienced pathologists. To reduce the workload and improve clinical automation, we investigate how to generate pathology reports given whole slide images. On the data end, we curated the largest WSI-text dataset (TCGA-PathoText). In specific, we collected nearly 10000 high-quality WSI-text pairs for visual-language models by recognizing and cleaning pathology reports which …
abstract arxiv automation clinical cs.ai cs.cl cs.cv diagnosis digital error foundation generate images instance multiple pathology reduce reports treatment type writing
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