Distance Regularized Level Set Evolution for Medical Image Segmentation

Rianto, Indra and Pranowo, . (2018) Distance Regularized Level Set Evolution for Medical Image Segmentation. In: The 1st Conference on Information Technology, Computer, and Electrical Engineering (CITACEE 2013), 16 November 2013, Universitas Diponegoro,Semarang.

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Medical image is an important tool because it can be used for surgical planning and simulation, radiotherapy planning, and tracking the progress of disease. To analyze the medical image, it must partitioned into different segment using image segmentation methods. Many methods are introduced to perform that segmentation, one of them is DRLSE. DRLSE are the development of level set method and maintained by forward-and-backward (FAB) diffusion derived from distance regularization term. Because of that DRLSE eliminates the need for re-initialization and avoid the undesirable side effect. This research use DRLSE for medical image segmentation. DRLSE can be used in medical image segmentation.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: segmentation; medical image; DRLSE
Subjects: Teknik Industri > Sistem Manufacturing
Divisions: Fakultas Teknologi Industri > Teknik Industri
Depositing User: Editor UAJY
Date Deposited: 12 Feb 2018 09:32
Last Modified: 13 Feb 2018 12:59
URI: http://e-journal.uajy.ac.id/id/eprint/13809

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