Test-time augmentation for deep learning-based cell segmentation on microscopy images
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-61808-3
Abstract: Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a… read more here.
Keywords: microscopy; segmentation; deep learning; microscopy images ... See more keywords
O050 Utility of ramp test time in patients undergoing assessment for renal transplantation
Sign Up to like & getrecommendations! Published in 2023 at "British Journal of Surgery"
DOI: 10.1093/bjs/znad101.050
Abstract: Prior to renal transplant listing, cardiovascular screening is performed to stratify the risk of cardiovascular disease (CVD). During pre-assessment in our centre, patients undergo a ramp test (a timed assessment to walk 130m), which is… read more here.
Keywords: assessment; test; transplantation; test time ... See more keywords
Thermal Ablation of High-Grade Premalignant Disease of the Cervix-Standing the Test of Time: A Retrospective Study.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of lower genital tract disease"
DOI: 10.1097/lgt.0000000000000638
Abstract: OBJECTIVE Analyze long-term (20 years) cytology and histology outcomes after treatment of high-grade cervical intraepithelial neoplasia (HGCIN) with thermal ablation (TA). METHODS All women having TA for HGCIN between January 1996 and December 1998 (36… read more here.
Keywords: high grade; test time; cytology; ablation ... See more keywords
Customized Spherical Near-Field Test Time Reduction for Wireless Base Station Antennas
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2018.2885009
Abstract: Effective spherical near-field (SNF) test time reduction approaches are presented for wireless base station antennas that have widely differing beamwidths in the azimuth and elevation planes. The geometry of these antennas allows for the optimization… read more here.
Keywords: near field; test time; time reduction; spherical near ... See more keywords
Reliable Test Architecture With Test Cost Reduction for Systolic-Based DNN Accelerators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3108415
Abstract: Deep Neural Network (DNN) accelerators are now ubiquitous. Extensive research is being directed at low power DNN accelerators for battery operated devices at the expense of a little drop in accuracy. These DNN accelerators have… read more here.
Keywords: methodology; dnn accelerators; test; power ... See more keywords
Test-Time Adaptation for Video Frame Interpolation via Meta-Learning.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3129819
Abstract: Video frame interpolation is a challenging problem that involves various scenarios depending on the variety of foreground and background motions, frame rate, and occlusion. Therefore, generalizing across different scenes is difficult for a single network… read more here.
Keywords: test time; frame interpolation; video frame;
Test‐Time Optimization for Video Depth Estimation Using Pseudo Reference Depth
Sign Up to like & getrecommendations! Published in 2023 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14729
Abstract: In this paper, we propose a learning‐based test‐time optimization approach for reconstructing geometrically consistent depth maps from a monocular video. Specifically, we optimize an existing single image depth estimation network on the test example at… read more here.
Keywords: test time; pseudo reference; reference depth; depth ... See more keywords
TTANAD: Test-Time Augmentation for Network Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25050820
Abstract: Machine learning-based Network Intrusion Detection Systems (NIDS) are designed to protect networks by identifying anomalous behaviors or improper uses. In recent years, advanced attacks, such as those mimicking legitimate traffic, have been developed to avoid… read more here.
Keywords: network; detection; test time; anomaly detection ... See more keywords
Body Composition Is Related to Maximal Effort Treadmill Test Time in Firefighters
Sign Up to like & getrecommendations! Published in 2023 at "Healthcare"
DOI: 10.3390/healthcare11111607
Abstract: Firefighting tasks may require near maximal levels of cardiorespiratory fitness. Previous research has indicated that body fat percentage (BF%) and aerobic capacity (VO2peak) are related to the performance of firefighting tasks. Since a standard submaximal… read more here.
Keywords: effort; time; treadmill test; test time ... See more keywords