An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Fast computation of Hausdorff distance in Python

A package to compute medical segmentation metrics.

Compute one-side Hausdorff distance between triangle meshes with error bound.

A Toolbox For Polytopic Objects, Operations, and Containment Problems

Parallel search algorithm for finding the closest object in a collection of polygonal models based on Hausdorff Distance with implementation using MPI in Python

A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance

A One-Shot Learning Handwritten Character Classifier using Bayesian Program Learning.

Calculates the Hausdorff Distance, between two sets of points, P and Q (which could be two trajectories or Shape Boundaries).

腹部 CT 多器官分割本地 GUI 原型（React + FastAPI + nnUNetv2）— 中国生物医学工程竞赛作品

[Research Article] AI-powered printability evaluation framework for 3D bioprinting using Hausdorff distance metrics

Pancreas segmentation in 3D Magnetic Resonance Imaging (MRI) data of different modalities.

Geometrically-correct, DICOM-native evaluation metrics for medical image segmentation in Python: Dice, IoU, HD95, ASSD, Normalized Surface Dice, per-lesion detection F1, with bootstrap confidence intervals and subgroup/fairness slicing.

Conveniently compute the Hausdorff distance to evaluate set or segmentations metrics.

A medical image kit for segmentation metrics evaluation

Evaluate similarity between two point clouds : Chamfer distance, RMSE, F-score, Hausdorff

Brain tumor MRI segmentation pipeline with epistemic uncertainty quantification, Platt calibration, and multi-model ensemble fusion. Research software for reproducible medical imaging.

Lightweight SegFormer3D-inspired 3D Transformer for right-ventricle segmentation in cardiac MRI (evaluated on the public M&Ms-2 multi-center, multi-view dataset).

Polygon and line segment comparison toolkit. IoU, PoLiS (Polygon and Line Segments), Hausdorff distance, perpendicular distance, angular difference, and R-tree indexed bulk matching.