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Interactive image segmentation using particle competition and cooperation
(2015-09-28)
Many interactive image processing approaches are based on semi-supervised learning, which employ both labeled and unlabeled data in its training process. In the interactive image segmentation problem, a human specialist ...
Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering
(2018-04-26)
Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible ...
Fast Automatic Segmentation of White Matter Streamlines Based on a Multi-Subject Bundle Atlas
(2017)
This paper presents an algorithm for fast segmentation of white matter bundles from massive dMRI tractography datasets using a multisubject atlas. We use a distance metric to compare streamlines in a subject dataset to ...
Detection of Lung Nodules on Medical Images by the Use of Fractal Segmentation
In the present paper, a method for the detection of malignant and benign tumors on the CT scan images has been proposed. In the proposed method, firstly the area of interest in which the tumor may exist is selected on the ...
Delayed coupling theory of vertebrate segmentation
(Hfsp Publishing, 2009-12)
Rhythmic and sequential subdivision of the elongating vertebrate embryonic body axis into morphological somites is controlled by an oscillating multicellular genetic network termed the segmentation clock. This clock operates ...
Motivations and segmentation of the demand for coastal cities: A study in Lima, Peru
(WileyUS, 2021)
The purpose of this research is to identify the motivations and segmentation of demand in coastal cities. The present study was carried out in Lima, a tourist destination in the Peruvian Pacific Ocean coast. This quantitative ...
Multilevel Thresholding for Image Segmentation Using an Improved Electromagnetism Optimization Algorithm
Image segmentation is considered one of the most important tasks in image processing, which has several applications in different areas such as; industry agriculture, medicine, etc. In this paper, we develop the electromagnetic ...
INTELLIGENT UNDERSTANDING OF USER INTERACTION IN IMAGE SEGMENTATION
(World Scientific Publ Co Pte LtdSingapore, 2012)