Preliminary Report on the Automatic Extraction of Cancer Type and Stage from Medical Imaging Reports for Population Level Cancer Monitoring

Rebekah Wegener

Preliminary Report on the Automatic Extraction of Cancer Type and Stage from Medical Imaging Reports for Population Level Cancer Monitoring

English and American Studies

Research output: Other contribution › Research

Abstract

Medical Imaging Report corpus description, annotation description, and analysis of challenges for machine learning and information extraction including negation patterns, modality patterns and description of location.

Original language	English
Type	Confidential Industry Report
Media of output	written report
Publication status	Published - 2012

Fields of Science and Technology Classification 2012

102 Computer Sciences
602 Linguistics and Literature
305 Other Human Medicine, Health Sciences

Cite this

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title = "Preliminary Report on the Automatic Extraction of Cancer Type and Stage from Medical Imaging Reports for Population Level Cancer Monitoring",

abstract = "Medical Imaging Report corpus description, annotation description, and analysis of challenges for machine learning and information extraction including negation patterns, modality patterns and description of location.",

author = "Rebekah Wegener",

year = "2012",

language = "English",

type = "Other",

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AU - Wegener, Rebekah

PY - 2012

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N2 - Medical Imaging Report corpus description, annotation description, and analysis of challenges for machine learning and information extraction including negation patterns, modality patterns and description of location.

AB - Medical Imaging Report corpus description, annotation description, and analysis of challenges for machine learning and information extraction including negation patterns, modality patterns and description of location.

M3 - Other contribution

ER -