Background And Objective: We investigated the additive clinical benefits of a new ultra-widefield (UWF) red-green-blue (RGB) imaging technology.
Patients And Methods: This was a retrospective, observational, single-center study of 86 consecutive patients (172 eyes). UWF red-green (RG) and RGB images were taken using a new Optos California (Optos Plc). This scanning laser ophthalmoscope uses wavelengths of 635 nm, 532 nm, and 488 nm for the red (R), green (G), and blue laser (B), respectively. The same device can image both in UWF RG and RGB simultaneously.
Results: The new Optos California provides a well-balanced, three-channel color image that is clinically useful in imaging and identifying vitreoretinal, retinal, and chorioretinal pathologies. The combination of the images captured by each laser source produces a final composite image that more accurately reflects the natural colors of the fundus. The addition of blue light provides additional detail to visualize the vitreoretinal interface and superficial retina, both within the posterior pole and in the periphery.
Conclusions: This new device allows for both RG and RGB imaging of the retina, providing valuable information on the anatomy of the vitreoretinal interface, retina, retinal pigment epithelium, and their abnormalities. Both techniques complement each other and can be useful in daily practice, allowing clinicians to choose the preferred imaging technique depending on specific findings and conditions. .
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http://dx.doi.org/10.3928/23258160-20231019-03 | DOI Listing |
Environ Monit Assess
January 2025
Technische Hochschule Nürnberg Georg Simon Ohm, Institute of Hydraulic Engineering and Water Resources Management, Nuremberg, Germany.
Through the mobilization of movable objects due to the extreme hydraulic conditions during a flood event, blockages, damage to infrastructure, and endangerment of human lives can occur. To identify potential hazards from aerial imagery and take appropriate precautions, a change detection tool (CDT) was developed and tested using a study area along the Aisch River in Germany. The focus of the CDT development was on near real-time analysis of point cloud data generated by structure from motion from aerial images of temporally separated surveys, enabling rapid and targeted implementation of measures.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.
View Article and Find Full Text PDFSci Rep
January 2025
Universidad Europea del Atlántico. Isabel Torres 21, Santander, 39011, Spain.
Steganography is used to hide sensitive types of data including images, audio, text, and videos in an invisible way so that no one can detect it. Image-based steganography is a technique that uses images as a cover media for hiding and transmitting sensitive information over the internet. However, image-based steganography is a challenging task due to transparency, security, computational efficiency, tamper protection, payload, etc.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Power Engineering, Naval University of Engineering, Wuhan, 430033, Hubei, China.
This paper proposes a fault diagnosis method for rotating machinery that integrates transfer learning with the ConvNeXt model (TL-CoCNN), addressing challenges such as small sample sizes and varying operating conditions. To meet the input requirements of the model while minimizing feature loss, an alternative approach to visualizing vibration data is introduced. Specifically, RGB images are synthesized from time-domain, frequency-domain, and time-frequency domain representations of the original signal, which are subsequently used as the input dataset.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Tecnológico de Bizkaia, C/ Geldo. Edificio 700, E-48160, Derio - Bizkaia, Spain; University of the Basque Country, Plaza Torres Quevedo, 48013 Bilbao, Spain.
Hyperspectral imaging, a rapidly evolving field, has witnessed the ascendancy of deep learning techniques, supplanting classical feature extraction and classification methods in various applications. However, many researchers employ arbitrary architectures for hyperspectral image processing, often without rigorous analysis of the interplay between spectral and spatial information. This oversight neglects the implications of combining these two modalities on model performance, consumption, and inference time.
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