Abstract
We develop tools to aid the physician in the diagnostic process of high-resolution CT (HRCT) scans of the ehest. This abstract presents a method for classifying patches of lung tissue from such scans as normal or abnormal. The Classification is performed by comparison to a set of reference cases.
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References
Shyu, Brodley, Kak, Kosaka, 1999. ASSERT : A Physician-in-the-loop Contents-Based Retrieval System for HRCT Image Databases. Computer Vision and Image Understanding, 75(1,2): 111–132
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© 2002 Springer-Verlag Berlin Heidelberg
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Sluimer, I.C., van Ginneken, B. (2002). Detection of abnormal tissue in HRCT scans of the chest. In: Lemke, H.U., Inamura, K., Doi, K., Vannier, M.W., Farman, A.G., Reiber, J.H.C. (eds) CARS 2002 Computer Assisted Radiology and Surgery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56168-9_255
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DOI: https://doi.org/10.1007/978-3-642-56168-9_255
Publisher Name: Springer, Berlin, Heidelberg
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