Biomedical Engineering Reference
In-Depth Information
4.1 Limitation
This method suffers from the disadvantage of taking more memory whenever tissue
region is comparatively high. Though consuming high memory is depicted as the
limitation in reality, it is not so as on the present day computing systems memory
space is not at all is a constraint.
5 Conclusion
Existing methods based on regular-shaped ROI works well when the tissue portion
occupies 80
90 % of the selected rectangular area of ROI. The above works are
silent about their performance whenever the tissue area is comparatively low in
selected ROI. The procedure proposed in this paper performs extraordinary well in
drastically reducing time complexity whenever the mass is of arbitrary shaped and
small in size. Results are shown that existing
-
xed window model takes more than
double the time than ours.
Studying the performance of sparse-modeled ROI in various other gray level
matrices and on other applications like face detection is our future endeavor.
Acknowledgments This work is funded by Department of Science and Technology, New Delhi,
India.
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