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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bevilacqua, V. Notarnicola, M. De Tommaso, E. Filograno, G. Mastronardi, G. Gargano, G. Bellotti, R. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dipartimento Interateneo di Fisica “M.Merlin”, Università degli Studi di Bari, Italy (Gargano, G.; Bellotti, R.) || Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Orabona, 4, 70125, Italy (Bevilacqua, V.; Notarnicola, M.; De Tommaso, E.; Filograno, G.; Mastronardi, G.) |
| Abstract | Several medical studies have shown that tumor malignancy can be evaluated by two different measurements concerning to the volumetric growth of tumors and the irregularities of their surfaces. Today Doubling Time (DT) is widely used for quantification of tumor growth rate, but may not be appropriate for some tumors, because it does not concern to the fact that benign tumors are expansive, while malignant ones are infiltrative. This work is then focused on: 3D rendering of tumor, reconstruction of a synthetic model that approximates its shape, and extraction of geometric features that can attest malignancy both in terms of volumes and of a proposal of new irregularity indexes. In particular, we refer to colorectal and lung cancers and then present the description and the implementation of a new software. This paper is organized as follows: description of tumor segmentation from a dataset of Computer Tomography (CT) axial slices, 3D tumor reconstruction, Genetic Algorithm synthetic model implementation and evaluation of regularity of tumor shape. |
| Starting Page | 18 |
| Ending Page | 23 |
| File Size | 939659 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424493364 |
| e-ISBN | 9781424493388 |
| DOI | 10.1109/MeMeA.2011.5966769 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-30 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tumors Lungs Ellipsoids Approximation methods Cancer Three dimensional displays Image segmentation GENOCOP III Segmentation 3D Rendering Medical Imaging Image processing Lung CT Colon CT Features extraction Doubling Time Tumor model Spherical Model Ellipsoidal Model Genetic Algorithm Constrained Optimization Problem |
| Content Type | Text |
| Resource Type | Article |
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