Computer-aided diagnosis in high resolution CT of the lungs
Ingrid C. Sluimer
Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorPaul F. van Waes
Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorMax A. Viergever
Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorBram van Ginneken
Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorIngrid C. Sluimer
Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorPaul F. van Waes
Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorMax A. Viergever
Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorBram van Ginneken
Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Search for more papers by this authorAbstract
A computer-aided diagnosis (CAD) system is presented to automatically distinguish normal from abnormal tissue in high-resolution CT chest scans acquired during daily clinical practice. From high-resolution computed tomography scans of 116 patients, 657 regions of interest are extracted that are to be classified as displaying either normal or abnormal lung tissue. A principled texture analysis approach is used, extracting features to describe local image structure by means of a multi-scale filter bank. The use of various classifiers and feature subsets is compared and results are evaluated with ROC analysis. Performance of the system is shown to approach that of two expert radiologists in diagnosing the local regions of interest, with an area under the ROC curve of 0.862 for the CAD scheme versus 0.877 and 0.893 for the radiologists.
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