Fine-Grained Spatial Information Extraction For Radiology Reports
Fine-Grained Spatial Information Extraction For Radiology Reports
批准号:
10288320
负责人:
Kirk Edward Roberts
金额:
$26.96万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-01 至 2022-12-31
关键词:
Alzheimer&aposs DiseaseAlzheimer&aposs disease diagnosisAlzheimer&aposs disease patientAlzheimer&aposs disease riskAnatomyArchitectureArtificial IntelligenceAtrophicBrainClassificationClinical DataComplexDataData SetDiagnosisDiffuseDilatation - actionDiseaseGoalsGrainHornsImageInformation RetrievalKnowledgeLabelLinguisticsMRI ScansMachine LearningMagnetic Resonance ImagingMalignant NeoplasmsMedialMedical ImagingMethodsNatural Language ProcessingParentsPerformancePhenotypePositron-Emission TomographyRadiology SpecialtyReportingResearchResourcesRoentgen RaysTemporal LobeTextTrainingValidationbasedeep learningdisease phenotypeimage processingimaging studyimprovedmachine learning methodneuroimagingparent projectprecision medicineradiological imagingrisk predictionscale upspatial relationship
中文摘要
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英文摘要
ABSTRACT
Automated medical image classification has seen enormous performance improvements recently,
particularly in radiology. The application of these approaches to Alzheimer's Disease (AD), however, has
been limited due to relatively small datasets and the limited granularity of their corresponding
phenotypes. The dataset size issue is problematic as the machine learning (ML) methods that have
achieved such remarkable performance often require enormous amounts of labeled data for training.
Furthermore, the phenotype granularity issue impedes the targeted studying of AD along the lines of
what is seen in the “precision medicine” approaches to diseases such as cancer. Solutions exist, however,
as an increasingly accepted means of acquiring large amounts of labeled data is through the use of
natural language processing (NLP) on the free-text reports associated with an image If a radiology report
describes a patient's AD-related finding, the associated image(s) can be used to train an image classifier.
The parent project to this supplemental proposal (R21EB029575) proposes just such a NLP method while
simultaneously solving the granularity issue by extracting fine-grained spatial information from the
report. In the parent project, we are developing NLP resources and methods to improve the automated
labeling of radiology images using the corresponding study reports. The parent is not specific to AD (or
any disease), so this supplement will enable us to focus on this particularly important disease, which will
benefit significantly from improved ML-based imaging. We will focus on MRI and PET scans. The Aims
here parallel the parent project, each focusing on methods that specifically improve NLP for AD
radiological indicator extraction as well as the validation of image classification from the corresponding
labels.
These Aims include (1) extending the spatial representation and corpus for Alzheimer's, (2) extending the
NLP methods for automatic extraction, and (3) validating the AD-related labels for use in image
classification.
The long-term impact of this project is to substantially improve AD diagnosis by scaling up the amount of
labeled data available to ML-based classifiers. The short-term goal supplement is to focus our
NLP/Imaging combination research on the complex task of improving AD diagnosis. By extending our
project with a specific target for AD, we will initiate a sizable research effort toward this goal.
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Fine-grained spatial information extraction for radiology reports
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批准号:10373961
-
项目类别:
-
资助金额:$15.6万
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财政年份:2020
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负责人:Kirk Edward Roberts
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依托单位:
Fine-grained spatial information extraction for radiology reports
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批准号:10116379
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项目类别:
-
资助金额:$19.5万
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财政年份:2020
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负责人:Kirk Edward Roberts
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依托单位:
Natural Language Question Understanding for Electronic Health Records
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批准号:9228509
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项目类别:
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资助金额:$24.9万
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财政年份:2016
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负责人:Kirk Edward Roberts
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依托单位:
Natural Language Question Understanding for Electronic Health Records
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批准号:9479293
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项目类别:
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资助金额:$24.9万
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财政年份:2016
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负责人:Kirk Edward Roberts
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依托单位:
国内基金
海外基金
新型F-18标记香豆素衍生物PET探针的研制及靶向Alzheimer's Disease 斑块显像研究
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批准号:81000622
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项目类别:青年科学基金项目
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资助金额:20.0万元
-
批准年份:2010
-
负责人:梁胜
-
依托单位:
阿尔茨海默病(Alzheimer's disease,AD)动物模型构建的分子机理研究
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批准号:31060293
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项目类别:地区科学基金项目
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资助金额:26.0万元
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批准年份:2010
-
负责人:郭亚芬
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依托单位:
跨膜转运蛋白21(TMP21)对引起阿尔茨海默病(Alzheimer'S Disease)的γ分泌酶的作用研究
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批准号:30960334
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项目类别:地区科学基金项目
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资助金额:22.0万元
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批准年份:2009
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负责人:董贵成
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依托单位: