Results 1 to 10 of about 5,359 (161)

Clinical evaluation and regression test of a commercial deep-learning auto-segmentation model. [PDF]

J Appl Clin Med Phys
Abstract Background Commercial deep‐learning segmentation (DLS) tools are increasingly used in clinical practice. Software updates may alter segmentation performance, highlighting the need for systematic clinical evaluation before implementation. Purpose This study presents our experience in clinically evaluating and regression‐testing a RayStation DLS
Barati R, Duan J, Gao S, Zhao Y, Chen X, Yu C, Xu Z, Khaleghibizaki M, Lofman F, Ohrt J, Court L, Balter P, Yang J.   +12 more
europepmc   +2 more sources

Synchrotron-Based Deep Learning Network of the Inner Ear: Development and Expert Validation. [PDF]

Laryngoscope
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Micuda A, Rioux K, Helpard L, Bajin MD, Kassam Z, Pandey S, Hwang J, Romero-Sanchez GT, Sharma M, Parnes LS, Ladak HM, Agrawal SK.   +11 more
europepmc   +2 more sources

Hausdorff Measures on Generalized Set Valued Neutrosophic Quadruple Numbers and Decision Making Applications for Adequacy of Online Education [PDF]

Neutrosophic Sets and Systems, 2021
In this paper, we develop a new method of decision-making algorithm with Hausdorff distance and Hausdorff similarity measures based on generalized set-valued neutrosophic quadruple numbers.
Sevilay Şahin, Abdullah Kargın, Murat Yücel   +2 more
doaj   +1 more source

Spaces of non-additive measures generated by triangular norms

Математичні Студії, 2023
We consider non-additive measures on the compact Hausdorff spaces, which are generalizations of the idempotent measures and max-min measures. These measures are related to the continuous triangular norms and they are defined as functionals on the spaces ...
Kh. Sukhorukova
doaj   +1 more source

Beyond the Hausdorff metric in digital topology

Applied General Topology, 2022
Two objects may be close in the Hausdorff metric, yet have very different geometric and topological properties. We examine other methods of comparing digital images such that objects close in each of these measures have some similar geometric or ...
Laurence Boxer
doaj   +1 more source

On the Fractal Measures and Dimensions of Image Measures on a Class of Moran Sets

Mathematics, 2023
In this work, we focus on the centered Hausdorff measure, the packing measure, and the Hewitt–Stromberg measure that determines the modified lower box dimension Moran fractal sets. The equivalence of these measures for a class of Moran is shown by having
Najmeddine Attia, Bilel Selmi
doaj   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

Fully automated segmentation of the pons and midbrain using human T1 MR brain images. [PDF]

PLoS ONE, 2014
This paper describes a novel method to automatically segment the human brainstem into midbrain and pons, called labs: Landmark-based Automated Brainstem Segmentation. LABS processes high-resolution structural magnetic resonance images (MRIs) according to
Salvatore Nigro, Antonio Cerasa, Giancarlo Zito, Paolo Perrotta, Francesco Chiaravalloti, Giulia Donzuso, Franceso Fera, Eleonora Bilotta, Pietro Pantano, Aldo Quattrone, Alzheimer's Disease Neuroimaging Initiative   +10 more
doaj   +1 more source

Hausdorff compactifications and zero-one measures II

Applied General Topology, 2002
The notion of PBS-sublattice is introduced and, using it, a simplification of the results of [6] and of some results of [5] is obtained. Two propositions concerning Wallman-type compactifications are presented as well.
Georgi D. Dimov, Gino Tironi
doaj   +1 more source

Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy

Physics and Imaging in Radiation Oncology, 2020
Background and purpose: In radiotherapy, automatic organ-at-risk segmentation algorithms allow faster delineation times, but clinically relevant contour evaluation remains challenging.
Femke Vaassen, Colien Hazelaar, Ana Vaniqui, Mark Gooding, Brent van der Heyden, Richard Canters, Wouter van Elmpt   +6 more
doaj   +1 more source