Results 71 to 80 of about 2,269,164 (264)

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +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

EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery

Advanced Intelligent Systems, EarlyView.
This article introduces EndoARSS, a novel multitask learning framework that combines surgical activity recognition and semantic segmentation for endoscopic surgery. Utilizing the foundation model with novel modules like task efficient shared low‐rank adapters and spatially aware multiscale attention, EndoARSS can effectively tackle challenges in ...
Guankun Wang, Rui Tang, Mengya Xu, Long Bai, Huxin Gao, Hongliang Ren   +5 more
wiley   +1 more source

Plasma Diffuse Reflectance Infrared Fourier Transform Spectroscopy Cell Design and Experimental Set‐Up for Operando‐DRIFTS Investigations on Plasma‐Induced Heterogeneous Catalyzed Reactions

Chemistry–Methods, EarlyView.
A customized apparatus for operando plasma‐diffuse reflectance infrared Fourier transform spectroscopy is developed by modifying the dome of a commercially available Harrick reaction chamber. The designed high‐voltage electrode is mounted and attached within a cylindrical holder made of PEEK.
Dilver Peña Fuentes, Carl‐Julius Mussweiler, Milko Schiorlin, Hans Höft, Abdallah I. M. Rabee, Thanh Huyen Vuong, Robert Franke, Ronny Brandenburg, Christoph Kubis   +8 more
wiley   +1 more source

On the categorical meaning of Hausdorff and Gromov distances, I

Topology and its Applications, 2010
Hausdorff and Gromov distances are introduced and treated in the context of categories enriched over a commutative unital quantale V. The Hausdorff functor which, for every V-category X, provides the powerset of X with a suitable V-category structure, is part of a monad on V-Cat whose Eilenberg-Moore algebras are order-complete. The Gromov construction
Akhvlediani, Andrei, Clementino, Maria Manuel, Tholen, Walter   +2 more
openaire   +5 more sources

On the Budgeted Hausdorff Distance Problem

, 2023
To appear in CCCG ...
Har-Peled, Sariel, Raichel, Benjamin
openaire   +2 more sources

Deep Learning Pipeline for Automated Assessment of Distances Between Tonsillar Tumors and the Internal Carotid Artery

Head &Neck, EarlyView.
ABSTRACT Background Evaluating the minimum distance (dTICA) between the internal carotid artery (ICA) and tonsillar tumors (TT) on imaging is essential for preoperative planning; we propose a tool to automatically extract dTICA. Methods CT scans of 96 patients with TT were selected from the cancer imaging archive.
Aseem Jain, Ameen Amanian, Nimesh Nagururu, Francis X. Creighton, Eitan Prisman   +4 more
wiley   +1 more source

Approximation of the Hausdorff distance by the distance of continuous surjections

Topology and its Applications, 2007
AbstractThe aim of this paper is to answer the following question: let (X,ϱ) and (Y,d) be metric spaces, let A,B⊂Y be continuous images of the space X and let f:X→A be a fixed continuous surjection. When is the inequalitydH(A,B)⩽inf{dsup(f,g):g∈C(X,Y),g(X)=B} replaced by the equality?
openaire   +3 more sources

Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques

Journal of Biophotonics, EarlyView.
Bright‐field images of unstained smears. (1) Sparse erythrocytes allow straightforward intensity‐ or phase‐based segmentation. (2) Overlapping cells blur boundaries, causing over‐ or under‐segmentation and lowering rule‐based accuracy, thus motivating overlap‐aware algorithms for reliable downstream feature extraction and classification. ABSTRACT Blood
Husnu Baris Baydargil, Thomas Bocklitz
wiley   +1 more source

EXTENDED HAUSDORFF DISTANCE AND SIMILARITY MEASURES FOR NEUTROSOPHIC REFINED SETS AND THEIR APPLICATION IN MEDICAL DIAGNOSIS

Journal of New Theory, 2015
In this paper we present a new distance measure between neutrosophic refined sets on the basis of extended Hausdorff distance of neutrosophic set and we study some of their basic properties.
Said Broumi, Florentin Smarandache
doaj