Header only, single file, simple and efficient C++11 library to compute the signed distance function (SDF) to a triangle mesh

Distance Regularized Level Set Evolution and Its Application to Image Segmentation

The python code of Chan-Vese model and RSF model for image segmentation

Level set segmentation with machine learning based velocity field

A C++ implementation of a stochastic level-set method.

Development repository for ViennaLS, a high performance sparse level set library.

Robust 3D Level Set Method for Evolving Fronts on Complex Unstructured Meshes

Simple coupled level set with volume of fraction (sCLSVOF) solver integrated with transport of species

Visualize image segmentation based on level set method.

Distance Regularized Level Set Evolution Segmentation

Demonstration of a few useful segmentation algorithms.

Image segmentation based on a level set evolution equation.

This is code for our work "Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images".

This project provides a code for converting STL files into level set distributions stored in orthogonal grids. The level set distribution, calculated using Signed Distance Fields (SDF), represents the distance from a geometric surface. Useful for applications such as computational fluid dynamics (CFD) and computer-aided design (CAD).

Automated contouring of breast tumor USG images.

Super Level Set Estimation Algorithms Implementation, Including LSE, TRUVAR, RMILE and some Improved Version. Project for 2019 Stochastic Process Course.

Official repo for NeurReps 2022 paper, "On the Level Sets and Invariance of Neural Tuning Landscapes". Analyze level sets on the tuning landscape of neurons and artificial units