Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.

IEEE Journal of Biomedical and Health Informatics(2018)

引用 122|浏览43
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摘要
Pathology reports are a primary source of information for cancer registries which process high volumes of free-text reports annually. Information extraction and coding is a manual, labor-intensive process. In this study, we investigated deep learning and a convolutional neural network (CNN), for extracting ICD-O-3 topographic codes from a corpus of breast and lung cancer pathology reports. We perf...
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关键词
Pathology,Cancer,Feature extraction,Deep learning,Breast,Task analysis,Information retrieval
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