Results 81 to 90 of about 243,195 (329)

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan   +6 more
wiley   +1 more source

Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

open access: yesApplied Sciences, 2020
With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication.
Lixiang Li   +5 more
doaj   +1 more source

Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan   +7 more
wiley   +1 more source

Compressive Sensing Over Networks [PDF]

open access: yesarXiv, 2010
In this paper, we demonstrate some applications of compressive sensing over networks. We make a connection between compressive sensing and traditional information theoretic techniques in source coding and channel coding. Our results provide an explicit trade-off between the rate and the decoding complexity. The key difference of compressive sensing and
arxiv  

OpenICS: Open Image Compressive Sensing Toolbox and Benchmark [PDF]

open access: yesarXiv, 2021
We present OpenICS, an image compressive sensing toolbox that includes multiple image compressive sensing and reconstruction algorithms proposed in the past decade. Due to the lack of standardization in the implementation and evaluation of the proposed algorithms, the application of image compressive sensing in the real-world is limited.
arxiv  

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

open access: yesAdvanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim   +3 more
wiley   +1 more source

From compressed sensing to compressed bit-streams: practical encoders, tractable decoders [PDF]

open access: yesarXiv, 2016
Compressed sensing is now established as an effective method for dimension reduction when the underlying signals are sparse or compressible with respect to some suitable basis or frame. One important, yet under-addressed problem regarding the compressive acquisition of analog signals is how to perform quantization.
arxiv  

Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix [PDF]

open access: yes, 2017
This paper proposes a joint framework wherein lifting-based, separable, image-matched wavelets are estimated from compressively sensed (CS) images and used for the reconstruction of the same. Matched wavelet can be easily designed if full image is available.
arxiv   +1 more source

Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems [PDF]

open access: yesSensors, 2014
Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image acquisition, the general image compression solution may not work well. In this paper, we propose an
Li, Xiangwei   +4 more
openaire   +3 more sources

3D Mechanical Confinement Directs Muscle Stem Cell Fate and Function

open access: yesAdvanced Biology, EarlyView.
This study reveals that the physical environment surrounding muscle stem cells (MuSCs) plays a crucial role in their function. Using a 3D hydrogel system, it shows that increased confinement preserves MuSC stemness by limiting activation, proliferation, and differentiation.
GaYoung Park   +3 more
wiley   +1 more source

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