6 December 2001 Intraclass classification of tumor in brain MR images
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Abstract
In robust tumor recognition engine implementation, it is important to superimpose different types of MR images to verify the adequacy of treatment. Usually, the tumors in time- staggered MR images may vary in shape, format, orientation, angle, translation, scale and by a variety of other distortions. It is already known that various image registration techniques such as Affine transform suffers from lack of speed. Thus, the ability to extract distortion- invariant image features is highly desirable for improved speed and efficiency. We propose to explore distortion- invariant metadata extraction and subsequent classification of tumor in brain MR images.
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Khan M. Iftekharuddin, Khan M. Iftekharuddin, } "Intraclass classification of tumor in brain MR images", Proc. SPIE 4470, Photonic Devices and Algorithms for Computing III, (6 December 2001); doi: 10.1117/12.449659; https://doi.org/10.1117/12.449659
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