scispace - formally typeset
Journal ArticleDOI

Spatially adaptive active contours: a semi-automatic tumor segmentation framework

TLDR
A spatially adaptive active contour technique by introducing local snake bending, to improve traditional snakes performance for segmenting tumors, which outperforms the other two methods, and consistently follows an expert’s annotations.
Abstract
Purpose Tumor segmentation constitutes a crucial step in simulating cancer growth and response to therapy. Incorporation of imaging data individualizes the simulation and assists clinical correlation with the predicted outcome. We adapted snakes to improve tumor segmentation including difficult cases with inherently inhomogeneous structure and poorly defined margins.

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Citations
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Journal ArticleDOI

The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context

TL;DR: The major components and function of the technologically integrated oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer project are outlined andicative results demonstrating various aspects of the clinical adaptation and validation process are presented.
Journal ArticleDOI

Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models

TL;DR: This work proposes an intelligent graphical workflow planning system that exploits the multiscale and modular nature of cancer and allows building complex cancer models by intuitively linking/interchanging highly specialized models.
Journal ArticleDOI

Segmentation of cancerous regions in liver using an edge-based and phase congruent region enhancement method

TL;DR: In this paper, an edge-based phase congruent region enhancement is proposed for detecting low-contrast boundaries using new stopping function, which is based on edge and phase information.
Journal ArticleDOI

Automatic MRI Brain Tumor Segmentation System Based on Localizing Active Contour Models

TL;DR: An automatic MRI brain tumor segmentation system were developed based on localized contour models, which can identify tumor-dominant slice, set initial contour automatically and segment tumor’s contours from all MRI slices autonomously.
References
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Journal ArticleDOI

Snakes : Active Contour Models

TL;DR: This work uses snakes for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest, and uses scale-space continuation to enlarge the capture region surrounding a feature.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Journal ArticleDOI

Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

TL;DR: The PSC algorithm as mentioned in this paper approximates the Hamilton-Jacobi equations with parabolic right-hand-sides by using techniques from the hyperbolic conservation laws, which can be used also for more general surface motion problems.
Journal ArticleDOI

Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Journal ArticleDOI

Geodesic active contours

TL;DR: A novel scheme for the detection of object boundaries based on active contours evolving in time according to intrinsic geometric measures of the image, allowing stable boundary detection when their gradients suffer from large variations, including gaps.
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