Results 191 to 200 of about 4,266 (248)

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

Comprehensive mixed reality surgical navigation system for liver surgery. [PDF]

open access: yesJ Med Imaging (Bellingham)
Xiang B, Heiselman JS, Miga MI.
europepmc   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

open access: yesJournal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf   +4 more
wiley   +1 more source

Bioinspired ionic thermoreceptors with anisotropic architecture for thermotactile perception in robots. [PDF]

open access: yesSci Adv
Cai X   +11 more
europepmc   +1 more source

Evaluating integrative strategies for incorporating phenotypic features in spatial transcriptomics

open access: yesJournal of Microscopy, EarlyView.
Abstract The key advantage of spatial transcriptomics (ST) technologies lies in the spatial domain: these techniques not only offer an unprecedented opportunity to interrogate intact biological samples in a spatially informed manner, but also set the stage for integration with other imaging‐based modalities.
Levin M Moser   +4 more
wiley   +1 more source

Evaluation of augmented reality training for a navigation device used for CT-guided needle placement. [PDF]

open access: yesInt J Comput Assist Radiol Surg
Stauffer T   +6 more
europepmc   +1 more source

Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images

open access: yesJournal of Oral Rehabilitation, EarlyView.
In this study, an integrated deep learning approach was developed for the evaluation of temporomandibular joint disorders using multicentre CBCT images. The mandibular condyle was first automatically segmented using the nnU‐Net v2 architecture. Subsequently, 3D‐CNN algorithms classified the condyles as healthy or unhealthy and further distinguished ...
İbrahim Şevki Bayrakdar   +5 more
wiley   +1 more source

Augmented reality and 3D modeling for preoperative planning in microsurgical resection of brain arteriovenous malformations: A proof-of-concept study. [PDF]

open access: yesSurg Neurol Int
Konovalov A   +10 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy