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Feb 15, 2021 · This paper addresses the automated detection of layered skin phantom thickness acquired from light microscopy images.
These phantoms are usually imaged under a scanning electron microscope to verify layer dimensions, varying with the amount of used materials, changes in sample ...
The statistical distribution of contact sizes, the number of contacts and the total contact area have been determined using automated image analysis as a ...
Jul 14, 2023 · For automated phantom detection, the image classification model was trained for 50 epochs with each epoch taking around 1 second. The ...
A novel algorithm was developed and demonstrated for automatic, real-time, and accurate measurement of TM thickness to aid in the diagnosis and monitoring of ...
Quantitative phase imaging (QPI) can be used to measure the optical thickness of objects in transmission or reflection configuration [3]. Spatial light ...
Aug 25, 2024 · This paper reviews the recent advancements and challenges in phantoms for optical coherence tomography, photoacoustic imaging, digital holographic microscopy
The aim of this study was to compare 11 commercially available OCT acquisition devices in their ability to quantify retinal layer thicknesses under different ...
The Smári image analysis service is the product of Phantom Laboratory's many years of experience delivering automated phantom image analysis in the cloud.
Missing: optical layer
Mar 2, 2023 · We study whether deep neural network based algorithm can filter out mammography phantom images that will pass or fail.