Results 101 to 110 of about 5,296,113 (405)

DeepLSR: a deep learning approach for laser speckle reduction [PDF]

, 2018
Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasound, and widefield imaging with laser illumination. We present an adversarial deep learning framework for laser speckle reduction, called DeepLSR (https://durr.jhu.edu/DeepLSR),
arxiv   +1 more source

Overcoming the speckle correlation limit to achieve a fiber wavemeter with attometer resolution [PDF]

Optics Letters 44, 1367-1370 (2019), 2019
The measurement of the wavelength of light using speckle is a promising tool for the realization of compact and precise wavemeters and spectrometers. However, the resolution of these devices is limited by strong correlations between the speckle patterns produced by closely-spaced wavelengths.
arxiv   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Objective speckle displacement resulting from the deformation of shaped objects [PDF]

, 2015
This paper describes an extended theory of the displacement of the objective speckle pattern resulting from displacement and/or deformation of a coherently illuminated diffuse object where the influence of the surface shape is included via the linear ...
Charrett, Thomas O. H., Tatam, Ralph P.
core   +1 more source

Evaluation of daily residual pancreatic tumor motion for deep‐inspiration breath‐hold radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breath‐hold techniques are widely used in radiation therapy to minimize respiratory‐induced tumor or organ‐at‐risk motion. However, residual motion persists, necessitating a reliable daily evaluation method. Methods At our institution, fiducial markers serve as surrogates for target localization in pancreatic cancer treatment.
Weihua Mao, Binbin Wu, Kai Ding, Sarah Han‐Oh, Amol Narang   +4 more
wiley   +1 more source

Opto-thermoelectric speckle tweezers

Nanophotonics, 2020
Opto-thermoelectric tweezers present a new paradigm for optical trapping and manipulation of particles using low-power and simple optics. New real-life applications of opto-thermoelectric tweezers in areas such as biophysics, microfluidics, and ...
Kotnala Abhay, Kollipara Pavana Siddhartha, Zheng Yuebing   +2 more
doaj   +1 more source

Spectral Speckle Customization [PDF]

arXiv, 2023
Speckle patterns are used in a broad range of applications including microscopy, imaging, and light-matter interactions. Tailoring speckles' statistics can dramatically enhance their performance in applications. We present an experimental technique for customizing the spatio-spectral speckled intensity statistics of optical pulses at the output of a ...
arxiv  

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

A fiber optic intrusion monitoring system

Moldavian Journal of the Physical Sciences, 2013
A fiber optic intrusion monitoring system comprises a multimode optical fiber, a coherent light source, a CCD, and a processor for generation of the output signal. The system is based on the principle of variation of speckle pattern in the far-field of a
Culeac, Ion, Iovu, Mihail, Buzdugan, Artur, Ciornea, Viorel, Nistor, Iurie, Cojocaru, Ion   +5 more
doaj  

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source