Using computer‐extracted image features for modeling of error‐making patterns in detection of mammographic masses among radiology residents

Purpose: Mammography is the most widely accepted and utilized screening modality for early breast cancer detection. Providing high quality mammography education to radiology trainees is essential, since excellent interpretation skills are needed to ensure the highest benefit of screening mammography...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 41; H. 9; S. 091907 - n/a
Hauptverfasser:	Zhang, Jing, Lo, Joseph Y., Kuzmiak, Cherie M., Ghate, Sujata V., Yoon, Sora C., Mazurowski, Maciej A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States American Association of Physicists in Medicine 01.09.2014
Schlagworte:	60 APPLIED LIFE SCIENCES ALGORITHMS Area Under Curve Biological material, e.g. blood, urine; Haemocytometers biomedical education Biomedical modeling BIOMEDICAL RADIOGRAPHY breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - diagnostic imaging cancer Computer aided diagnosis computer aided instruction Computer modeling computer vision Computer-Assisted Instruction - methods Databases, Factual Diagnostic Errors - prevention & control Digital computing or data processing equipment or methods, specially adapted for specific applications Electrically‐operated educational appliances ERRORS feature extraction Female Humans Image data processing or generation, in general image segmentation Instructional computer use Internship and Residency Likelihood Functions Machine vision MAMMARY GLANDS Mammography Mammography - methods mammography tumor segmentation medical image processing Medical image segmentation Models, Psychological Models, Statistical NEOPLASMS Observer Variation PATIENTS Pattern Recognition, Automated Pattern Recognition, Visual predictive model Radiographic Image Interpretation, Computer-Assisted Radiologists Radiology - education random forest ROC Curve SCREENING Segmentation Vision modeling
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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