Perceptual and Adaptive Learning in Cancer Image Interpretation
Perceptual and Adaptive Learning in Cancer Image Interpretation
批准号:
10464901
负责人:
PHILIP J KELLMAN
金额:
$48.12万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-18 至 2024-08-31
关键词:
Active LearningAreaAttentionBrainCategoriesCessation of lifeClassificationCognitionCompetenceComplexCustomDataDermatologicDermatologyDetectionDiagnosticEffectivenessEnsureFailureFeedbackFrustrationGoalsHumanImageImage AnalysisIndividualInformation RetrievalInstructionIntuitionInvestigationLearningLearning ModuleMalignant NeoplasmsMammographic screeningMammographyMeasuresMedicalMedical EducationMedical ImagingMedical TechnologyMemoryMethodsNeoplasmsNursesPaired ComparisonParticipantPatternPerceptionPerceptual learningPerformancePersonsPhasePhysiciansProcessRadiology SpecialtyReaction TimeRecurrenceResearchResearch Project GrantsRoleScreening for cancerSignal Detection AnalysisSignal TransductionSkin CancerStructureSystemTask PerformancesTechniquesTestingTrainingValidationVisualWorkadaptive learningbasecancer classificationcancer imagingcancer therapydesigneconomic costexperiencehands-on learninghuman imagingimaging modalityimprovedinnovationlearning algorithmlearning outcomemalignant breast neoplasmnovelprematurescreeningtoolunnecessary treatment
中文摘要
项目总结/文摘
英文摘要
Project Summary/Abstract
Cancer screening from visual displays, as in dermatology and radiology, depends crucially on the expertise of
medical practitioners, but current data indicate that even among experienced professionals there are significant
and persistent error rates. While there have been impressive advances in the technologies of medical imaging,
considerably less attention has been paid to the learning processes involved in the training of medical image
interpretation. Research in perception and cognition indicates that the central process by which people become
able to detect and classify complex and subtle patterns and structures in visual images is a process known as
perceptual learning. Through perceptual learning mechanisms, with appropriate practice in a given domain, the
brain progressively improves information extraction to optimize task performance. These mechanisms are
largely unaffected by the traditional didactic instruction common in medical education; instead, they depend on
interaction with large numbers of examples with task-relevant feedback. Recent work has shown that
application of principles of perceptual learning can dramatically accelerate accuracy and fluency in medical
learning domains. Evidence suggests that these training methods can be markedly enhanced, and customized
for individual learners, by incorporating novel adaptive learning algorithms based on principles of learning and
memory.
The primary aim of this project is to investigate principles and mechanisms of perceptual and adaptive learning
in the learning of multiple diagnostic categories in dermatologic screening and mammography, with the
ultimate aim of improving training and proficiency in cancer image interpretation. Studies with novices in lab
settings will establish basic principles and hypotheses, and selective studies with nurse melanographers,
residents, and physicians will test validation with actual practitioners. Culminating studies of melanographers in
actual dermatologic screening settings will compare practitioners who train with best-practices perceptual-
adaptive learning modules (PALMs) to control participants. Specific studies will investigate the incorporation of
signal detection concepts into adaptive perceptual learning systems; the role of comparisons in defining and
differentiating perceptual categories; the relative benefits of passive and active learning episodes across
learning phases; and the relationship between the stringency of mastery criteria and the degree to which
resulting performance is accurate, fluent, generalizable, and long-lasting.
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Connecting Adaptive Perceptual Learning and Signal Detection Theory in Skin Cancer Screening.
将自适应感知学习和信号检测理论连接到皮肤癌筛查中。
DOI:
--
发表时间:
2023
期刊:
CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference
影响因子:
--
作者:
[Kellman,PhilipJ, Krasne,Sally, Massey,ChristineM, Mettler,EverettW]
通讯作者:
Mettler,EverettW
DOI:
10.1186/s41235-023-00462-5
发表时间:
2023-02-01
期刊:
COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS
影响因子:
4.1
作者:
[DiGirolamo, Gregory J., DiDominica, Megan, Qadri, Muhammad A. J., Kellman, Philip J., Krasne, Sally, Massey, Christine, Rosen, Max P.]
通讯作者:
Rosen, Max P.
Evaluating the Use of Supplemental Training Technologies in Dermatology Education.
评估补充培训技术在皮肤病学教育中的使用。
DOI:
--
发表时间:
2021
期刊:
Journal of dermatology for physician assistants : Official journal of the Society of Dermatology Physician Assistants
影响因子:
--
作者:
[Aycock,MalloryM, Marker,CraigD, Kellman,PhilipJ]
通讯作者:
Kellman,PhilipJ
Comparisons in Adaptive Perceptual Category Learning.
自适应感知类别学习的比较。
DOI:
--
发表时间:
2022
期刊:
CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference
影响因子:
--
作者:
[Jacoby,VictoriaL, Massey,ChristineM, Mettler,Everett, Kellman,PhilipJ]
通讯作者:
Kellman,PhilipJ
DOI:
10.1002/aet2.10454
发表时间:
2021-04-01
期刊:
AEM EDUCATION AND TRAINING
影响因子:
1.8
作者:
[Krasne, Sally, Stevens, Carl D., Niemann, James T.]
通讯作者:
Niemann, James T.
共 9 条
Perceptual and Adaptive Learning in Cancer Image Interpretation
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负责人:PHILIP J KELLMAN
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SPATIAL AND TEMPORAL INTEGRATION IN OBJECT PERCEPTION
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