Results 131 to 140 of about 65,484 (270)
Approximating the Directed Hausdorff Distance
The Hausdorff distance is a metric commonly used to compute the set similarity of geometric sets. For sets containing a total of $n$ points, the exact distance can be computed naïvely in $O(n^2)$ time. In this paper, we show how to preprocess point sets individually so that the Hausdorff distance of any pair can then be approximated in linear time ...
Chubet, Oliver A. +3 more
openaire +2 more sources
Abstract Background Brain metastases (BMs) are manually contoured during stereotactic radiosurgery (SRS) treatment planning, which is both time‐consuming and potentially inconsistent. To address these challenges, researchers have been actively developing deep learning‐based approaches for the detection and segmentation of BMs.
Zhifeng Xu +10 more
wiley +1 more source
Abstract Background Head and neck cancer (HNC) patients undergoing radiotherapy (RT) may experience anatomical changes during treatment, which can compromise the validity of the initial treatment plan, necessitating replanning. However, ad hoc replanning disrupts clinical workflows and increases workload.
Odette Rios‐Ibacache +7 more
wiley +1 more source
Hausdorff Distance and Fourier Integrals [PDF]
Contains fulltext : 222717.pdf (Publisher’s version ) (Open Access)
Rooij, A.C.M. van, Ruymgaart, F.H.
openaire
This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu +3 more
wiley +1 more source
ABSTRACT Advanced footwear technologies (AFT) like carbon plates and thick, lightweight soles were developed to enhance running performance. Previous research on sole thickness focused on level running; however, downhill running, with different biomechanical demands, remains underexplored. This study investigates how running shoe sole thickness affects
Cagla Kettner +2 more
wiley +1 more source
ABSTRACT To develop and validate a multitask deep learning framework for the simultaneous segmentation and clinical classification of pancreatic and peripancreatic anatomical structures in contrast‐enhanced CT imaging, enabling robust, automated diagnostic assessment and TNM staging.
Ming Jiang +4 more
wiley +1 more source
Abstract Background Magnetic resonance imaging (MRI) has traditionally been preferred over computed tomography (CT) for segmentation of intracranial structures due to its superior low contrast resolution. However, a reliable CT‐based segmentation could improve patient management when MRI is not practical.
Veronica Fransson +9 more
wiley +1 more source
Gromov - Hausdorff Convergence and Topological Stability for Actions on Wasserstein Hyperspaces
In this paper, we make use of topological stability from Gromov – Hausdorff view point to establish the Gromov – Hausdorff convergence and stability of induced actions on Wasserstein hyperspaces between maps.
M. A. Morawo +3 more
doaj
AREA BASED STEREO IMAGE MATCHING TECHNIQUE USING HAUSDORFF DISTANCE AND TEXTURE ANALYSIS [PDF]
Jyoti Joglekar, Shirishkumar Gedam
openalex +1 more source

