Results 61 to 70 of about 1,725,722 (217)

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source

Comparison of Radar Signatures from a Hybrid VTOL Fixed-Wing Drone and Quad-Rotor Drone

Drones, 2022
Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL) fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone, TX25A, compared with the radar detection results of a quad-rotor ...
Jiangkun Gong, Deren Li, Jun Yan, Huiping Hu, Deyong Kong   +4 more
doaj   +1 more source

Human Motion Recognition With Limited Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2021
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing, Alexander Yarovoy, Yang Yang 0045   +5 more
openaire   +4 more sources

Dynamic Hand Gesture Classification Based on Multistatic Radar Micro-Doppler Signatures Using Convolutional Neural Network [PDF]

, 2019
We propose a novel convolutional neural network (CNN) for dynamic hand gesture classification based on multistatic radar micro-Doppler signatures. The timefrequency spectrograms of micro-Doppler signatures at all the receiver antennas are adopted as ...
Griffiths, Hugh, Chen, Zhaoxi, Fioranelli, Francesco, Li, Gang, Gang Li, Francesco Fioranelli, Zhaoxi Chen, Hugh Griffiths   +7 more
core   +1 more source

Perceptions and experiences of midwives' regarding the use of the labor care guide at two state hospitals in Khomas region, Namibia

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract The labor care guide (LCG) is a new tool for monitoring labor, introduced to replace the partograph, which had been used improperly and inconsistently across various contexts. Early research suggests that healthcare practitioners view the LCG as a tool that enhances the quality of care during labor and delivery.
Amalia N. N. Ilonga, Takaedza Munangatire   +1 more
wiley   +1 more source

Dual-Scale Doppler Attention for Human Identification

Sensors, 2022
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo   +4 more
doaj   +1 more source

Renal screening sonography—A comparative study in a Portuguese basic emergency service

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 8-16, March 2025.
Renal sonography screening aids in clinical decision‐making for patients with suspected renal colic. This study intends to compare the accuracy and pertinence of sonographic findings obtained by a sonographer in a Basic Emergency Service (BES) with that of radiologists at Referral Hospital (RH) in Portugal. Renal sonography screening was able to detect
Sérgio Miravent, Carmen Jiménez, Narciso Barbancho, Manuel Duarte Lobo, Teresa Figueiredo, Carla Gomes, Ion Ratusneac, João Mário Gonçalves, Corina Hasnas, Rui de Almeida   +9 more
wiley   +1 more source

Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning

Sensors, 2022
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians.
Danny Buchman, Michail Drozdov, Tomas Krilavičius, Rytis Maskeliūnas, Robertas Damaševičius   +4 more
doaj   +1 more source

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo, Angela K. Rowe, Michael M. Bell, Wei‐Yu Chang   +3 more
wiley   +1 more source

A Luminescent PEI/Cy5‐Citrate‐Functionalized Carbonated Apatite Nanoplatform for In Vitro Gene Delivery and In Vivo Traceability

Small, EarlyView.
A luminescent PEI/Cy5‐citrate‐functionalized carbonated apatite nanoplatform combines biocompatibility, plasmid delivery, and Cy5‐based traceability. The system enables effective in vitro gene delivery while preserving cell viability and allows real‐time in vivo fluorescence tracking of the nanocarrier.
Laura Garrido Martín, Marta García Gallego, Raquel Fernández Penas, José Manuel Peula García, Jaime Gómez Morales, Houria Boulaiz   +5 more
wiley   +1 more source