Optimal slice thickness for object detection with longitudinal partial volume effects in computed tomography [JACMP, 18(1) 251‐259, 2017]
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.12330
Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2018 The Authors.… read more here.
Keywords: thickness object; object detection; detection longitudinal; slice thickness ... See more keywords
MiniYOLO: A lightweight object detection algorithm that realizes the trade‐off between model size and detection accuracy
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23079
Abstract: The object detection task is to locate and classify objects in an image. The current state‐of‐the‐art high‐accuracy object detection algorithms rely on complex networks and high computational cost. These algorithms have high requirements on the… read more here.
Keywords: accuracy; detection; object detection; model size ... See more keywords
A minimum SNR criterion for computed tomography object detection in the projection domain.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15832
Abstract: BACKGROUND A common rule of thumb for object detection is the Rose criterion, which states that a signal must be five standard deviations above background to be detectable to a human observer. The validity of… read more here.
Keywords: snr; projection; methodology; object detection ... See more keywords
Artificial intelligence research within reach: an object detection model to identify rickets on pediatric wrist radiographs
Sign Up to like & getrecommendations! Published in 2021 at "Pediatric Radiology"
DOI: 10.1007/s00247-020-04895-8
Abstract: Background Artificial intelligence models have been successful in analyzing ordinary photographic images. One type of artificial intelligence model is object detection, where a labeled bounding box is drawn around an area of interest. Object detection… read more here.
Keywords: object detection; detection; normal wrists; radiology ... See more keywords
A novel metaheuristic optimal feature selection framework for object detection with improved detection accuracy based on pulse-coupled neural network
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-06126-0
Abstract: The fusion of visible and infrared (IR) images is considered as one of the most efficient image fusion methods so far, as more valuable information can be obtained from the fused images overcoming the sensor… read more here.
Keywords: object detection; neural network; detection; detection accuracy ... See more keywords
Salient object detection using a covariance-based CNN model in low-contrast images
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2870-6
Abstract: Salient object detection model with active environment perception can substantially facilitate a wide range of applications. Conventional models primarily rely on handcrafted low-level image features or high-level features. However, these models may face great challenges… read more here.
Keywords: object detection; salient object; model; contrast images ... See more keywords
Single-shot augmentation detector for object detection
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05202-0
Abstract: Single-shot multibox detector (SSD), one of the top-performing object detection algorithms, has achieved both high accuracy and fast speed. However, its performance is limited by two factors: (1) anchors are generated uniformly over the image… read more here.
Keywords: object detection; detection; feature; module ... See more keywords
Scale-aware feature pyramid architecture for marine object detection
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05217-7
Abstract: Marine object detection is an appealing but challengeable task in computer vision. Even though recent popular object detection algorithms perform well on common classes, they cannot acquire satisfied detection performance on marine objects because underwater… read more here.
Keywords: object detection; detection; feature pyramid; marine object ... See more keywords
Learning region-guided scale-aware feature selection for object detection
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05400-w
Abstract: Scale variation is one of the major challenges in object detection task. Modern region-based object detection architectures often adopt Feature Pyramid Network (FPN) as feature extraction neck to achieve multi-scale feature representation in solving scale… read more here.
Keywords: object detection; feature selection; feature; scale aware ... See more keywords
Fusion of thermal infrared and visible spectra for robust moving object detection
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0621-z
Abstract: The detection of moving objects is a crucial step for many video surveillance applications whether using a visible camera (VIS) or an infrared (IR) one. In order to profit from both types, several fusion methods… read more here.
Keywords: object detection; detection; moving object; level fusion ... See more keywords
A novel dynamic graph evolution network for salient object detection
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02479-z
Abstract: The advanced deep convolution neural networks (CNNs) based salient object detection (SOD) models still suffer from the coarse object edge. The traditional graph-based SOD models can preserve the object edge well benefitting from the superpixels,… read more here.
Keywords: object detection; object; graph; salient object ... See more keywords