Candidate Functions for a Parallel Multi-level Thresholding Technique

Hayat, L.; Fleury, Martin; Clark, Adrian

doi:10.1006/gmip.1996.0029

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Computer Aided Tissue Classification1

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1997

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Cited by 5 publications

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“…thresholding [111] or more complex algorithms (i.e. region growing, [111,112]). For simplex thresholding classification, it is essential that a good contrast of the target and the reference is present.…”

Section: Computer Aided Tissue Classificationmentioning

confidence: 99%

Recent development on computer aided tissue engineering — a review

Sun¹,

Lal²

2002

Computer Methods and Programs in Biomedicine

333

164

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The utilization of computer-aided technologies in tissue engineering has evolved in the development of a new field of computer-aided tissue engineering (CATE). This article reviews recent development and application of enabling computer technology, imaging technology, computer-aided design and computer-aided manufacturing (CAD and CAM), and rapid prototyping (RP) technology in tissue engineering, particularly, in computer-aided tissue anatomical modeling, three-dimensional (3-D) anatomy visualization and 3-D reconstruction, CAD-based anatomical modeling, computer-aided tissue classification, computer-aided tissue implantation and prototype modeling assisted surgical planning and reconstruction.

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Section: Computer Aided Tissue Classificationmentioning

confidence: 99%