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Abstract #4790

Using Natural Language Processing to explore the correlation of prostate MR findings and prostate biopsy

Yi Liu1, Shuai Ma1, Rui Wang2, Ge Gao3, En Ouyang4, Zuofeng Li4, Juan Wei4, and Xiaoying Wang3

1Peking University First Hospital, Beijing, People's Republic of China, 2Peking University First Hospital, 3Peking University First Hospital, People's Republic of China, 4Philips Research China, People's Republic of China

Natural language processing (NLP) provides techniques that aid the conversion of text into a structured representation, which is potentially a valuable source of information for improving clinical care and supporting research in medical domain.1,2 Used on radiology reports and biopsy results, NLP techniques enable automatic identification and extraction of information. For most patients suffer from prostate diseases, they always conduct tests including radiology and biopsy. And it is an interesting task to explore the prostate MR findings and prostate biopsy, which have not been studied in other research center.

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