Results 131 to 140 of about 957,081 (355)
Abstract Purpose The Bravos v1.2 control software introduces a ring applicator component type (ACT) with channel length verification to address geometric characteristics and dosimetric discrepancies caused by source positioning inaccuracies. This study aims to commission the ring applicator and investigate the new ring ACT in Bravos 1.2.
Xiuxiu He+4 more
wiley +1 more source
Deep Learning Based Segmentation Free License Plate Recognition Using Roadway Surveillance Camera Images [PDF]
Smart automated traffic enforcement solutions have been gaining popularity in recent years. These solutions are ubiquitously used for seat-belt violation detection, red-light violation detection and speed violation detection purposes. Highly accurate license plate recognition is an indispensable part of these systems.
arxiv
Abstract Purpose The study evaluates rapid linear accelerator (Linac) single isocenter stereotactic radiosurgery (SRS) with Hyperarc for large target numbers. We compared to Gamma Knife (GK), which suffers from long treatment times and investigated causes of differences. Methods Linac SRS and GK treatment plans for patients receiving 18 Gy to the gross
Abram Abdou+4 more
wiley +1 more source
The Potential of Using Brain Images for Authentication
Biometric recognition (also known as biometrics) refers to the automated recognition of individuals based on their biological or behavioral traits. Examples of biometric traits include fingerprint, palmprint, iris, and face.
Fanglin Chen+3 more
doaj +1 more source
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
Pattern Recognition from Segmented Images in Automated Inspection Systems
We present the segmentation of the foreground objects and the identification of the individual objects in the cigarette tin package, so the information will be used for the classification of the acceptable cases or defective cases. Visual inspection and classification of cigarette tin package are very important in manufacturing cigarette products that ...
J.S. Jin, Mira Park, Suhuai Luo, S.L. Au
openaire +3 more sources
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising+11 more
wiley +1 more source
Adversarial Examples in Environment Perception for Automated Driving (Review) [PDF]
The renaissance of deep learning has led to the massive development of automated driving. However, deep neural networks are vulnerable to adversarial examples. The perturbations of adversarial examples are imperceptible to human eyes but can lead to the false predictions of neural networks.
arxiv
A Survey of the Trends in Facial and Expression Recognition Databases and Methods
Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security ...
Emmons, Michelle, Roychowdhury, Sohini
core +1 more source
Abstract Purpose This study quantitatively evaluates bladder changes and their dosimetric impact during the on‐couch adaptive process on a commercial CBCT‐based online adaptive radiotherapy (CT‐gART) platform. Methods Data from 183 fractions of ten patients receiving online ART for pelvic cancers were analyzed retrospectively.
Ingrid Valencia Lozano+7 more
wiley +1 more source