Results 141 to 150 of about 65,484 (270)

A Decision-Making Method for Lung Diseases Recognition Using Generalized Complex Fermatean Fuzzy Distance and Entropy Measures

open access: yesInternational Journal of Computational Intelligence Systems
Complex Fermatean fuzzy sets (CFFSs) represent an advanced development of fuzzy sets by integrating aspects of complex fuzzy sets and Fermatean fuzzy sets.
Zhe Liu   +4 more
doaj   +1 more source

Longitudinal assessment of radiosurgery response in small brain metastases: AI‐driven precision tumor segmentation and monitoring on serial MRI

open access: yesMedical Physics, Volume 53, Issue 1, January 2026.
Abstract Background The conventional method of assessing radiotherapy outcome in brain metastases (BM) is based on monitoring tumor size alterations on serial magnetic resonance imaging (MRI). To accurately determine changes in tumor dimensions, targets require delineations on several volumetric images acquired before treatment and at multiple follow ...
Nauman Bashir Bhatti   +9 more
wiley   +1 more source

On statistical convergence in fractal analysis

open access: yesAIMS Mathematics
This study investigated the statistical convergence of fractal-generating set sequences, motivated by the observation that natural fractals, influenced by external biological, chemical, or physical factors, rarely exhibit strict classical convergence ...
Jun-Jie Quan   +4 more
doaj   +1 more source

Lower Bounding the Gromov--Hausdorff distance in Metric Graphs [PDF]

open access: green
Henry Adams   +4 more
openalex   +1 more source

Mapping Multiple Regions to the Grid with Bounded Hausdorff Distance

open access: green, 2021
Ivor van der Hoog   +6 more
openalex   +2 more sources

Advances in Deep Learning Applications for Choroidal Images Analysis: A Narrative Review

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
Clinical detection and evaluation of the choroid primarily rely on imaging and subsequent image analysis. The application of artificial intelligence (AI), particularly deep learning (DL), in the analysis of choroidal images shows significant potential for improving accuracy and efficiency.
Yiwen Shi   +5 more
wiley   +1 more source

Approximating Gromov-Hausdorff distance in Euclidean space

open access: yesComputational Geometry
The Gromov-Hausdorff distance $(d_{GH})$ proves to be a useful distance measure between shapes. In order to approximate $d_{GH}$ for compact subsets $X,Y\subset\mathbb{R}^d$, we look into its relationship with $d_{H,iso}$, the infimum Hausdorff distance under Euclidean isometries.
Sushovan Majhi   +2 more
openaire   +2 more sources

Multi‐Head Convolution Module With Dynamic Feature Fusion for Medical Image Segmentation

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This article combines CNN and Transformer to propose a multi‐head mixed channel convolution and DFA module, which enhances the extraction and fusion of multi‐scale features. Used on three publicly available datasets, the results showed better performance than state‐of‐the‐art models.
Zijian Chen   +3 more
wiley   +1 more source

A Novel Distance‐Based Metric for Quality Assessment in Image Segmentation

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
In this paper, we introduce the surface consistency coefficient (SCC$\mathrm{SCC}$), a novel distance‐based quality metric that quantifies the spatial distribution of errors based on their proximity to the surface of the structure. Through a rigorous analysis using synthetic data and real segmentation results, and comparison with established metrics ...
Niklas Rottmayer, Claudia Redenbach
wiley   +1 more source

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