System and method for computer-aided detection and...

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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Reexamination Certificate

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10357442

ABSTRACT:
An automated computerized scheme for detection and characterization of diffuse lung diseases on high-resolution computed tomography (HRCT) images including obtaining image data including pixels of an organ; segmenting the image data into organ image data and non-organ image data; extracting predetermined features from the organ image data to produce a set of image features; comparing the set of image features against a reference set of organ image features containing image data known to correspond to normal and abnormal conditions; and producing a comparison result.

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patent: 6549646 (2003-04-01), Yeh et al.
patent: 6760468 (2004-07-01), Yeh et al.
Renuka Uppaluri, et al. “Computer Recognition of Regional Lung disease Patterns”, Am J Respir Crit Care Med vol. 160, pp. 648-654, (Received in original form Apr. 16, 1998 and in revised form Jan. 20, 1999).
K. R. Heitmann et al. “Automatic detection of ground glass opacities on lung HRCT using multiple neural networks”, European Radiology 7, pp. 1463-1472 (1997).

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