Mar 13, 2013 · In this paper, we propose a novel curvature re-weighted boundary smoothing term and introduce a new convex optimization-based contour/surface ...

Abstract—In this paper, we propose a new global optimization- based approach to contour evolution, with or without the novel.

Aiming at the problem of segmentation and correction of inhomogeneous images, this paper proposes an improved active contour model based on previous models. Our ...

Rajchl, A. Fenster, "Efficient convex optimization-based curvature dependent contour evolution approach for medical image segmentation," Proceedings of SPIE ...

In this paper, the hybrid active contour model driven by optimized local pre-fitting image (OLPFI) energy was proposed for fast image segmentation.

Aug 1, 2024 · This article reviews emerging applications of image segmentation in medical diagnostics, specifically employing nature-inspired optimization algorithms (NIOAs).

May 7, 2021 · Active contour models have been widely used in image segmentation, and the level set method. (LSM) is the most popular approach for solving the ...

The geometric active contour model, combining level set method and curve evolution theory, allows cusps, corners, and automatic topological changes. It can ...

In practice, this significantly decreases the computational load, facilitates introducing learned shape information and improves segmentation efficiency and ...

May 15, 2020 · This work proposes a technique which can be easily integrated into the commonly used DCNNs for image segmentation and guarantee that outputs ...