Computer vision has significantly impacted information technology over the last few years. The image processing process lays the groundwork for computer vision with important components, including image filtering and ...
详细信息
Computed tomographic radiography (CT) can be potentially used for knee osteoarthritis (OA) diagnosis and follow up. It is possible to quantify knee joint space three-dimensionally. The main purpose of this study was t...
详细信息
ISBN:
(纸本)9781665464956
Computed tomographic radiography (CT) can be potentially used for knee osteoarthritis (OA) diagnosis and follow up. It is possible to quantify knee joint space three-dimensionally. The main purpose of this study was to investigate an accurate, precise, and memory-saving convolutional neural network to accomplish the segmentation of lateral joint space and medial joint space (LJS and MJS) of knee joints. A novel deep learning structure, based on two state-of-the-art networks - RegNet and DeepLabV3P, was constructed for automatic prediction. And a new attention mechanism called "Feature-Location" module was proposed to be added into the models for comparison. The predictions were postprocessed by area opening and alpha shape to get the complete segmentations. From the joint space segmentations, morphological measurements clinically pertinent for knee OA diagnosis and follow up such as the volume, mean thickness, and standard deviation were measured. Finally, compared with the standard U-Net and DeepLabV3P, our new model called "DeepRegY" reduced the memory footprint by more than double. The model also produced the highest Dice coefficients, 0.8378 for LJS and 0.8655 for MJS in the validation set. The morphological parameters showed strong correlations, 0,9356 for volume, 0.99 for mean thickness, and 0.9876 for standard deviation of thickness in the testing set. Bland-Altman analysis showed a mean thickness bias about -0.2 mm which is very low compared to the mean thickness results.
Variational autoencoders (VAEs) are currently popular deep generative models that demonstrate powerful performance in various applications. However, VAEs have a tendency to vectorize data during encoding, which can re...
详细信息
This paper studies pilot assignment (PA) in cell-free (CF) massive multiple-input multiple-output (MIMO). PA is a key issue to facilitate signal processing, e.g. beamforming, by providing reliable channel estimation a...
详细信息
Poor manhole maintenance causes a number of serious problems. Manholes must be periodically inspected to protect public safety. Improper covering and damaged manhole lids on the road endanger lives and generate seriou...
详细信息
The deep integration of new-generation information technology and manufacturing is triggering far-reaching industrial changes. Machine vision inspection is widely used in large-scale repetitive industrial production p...
详细信息
The internet of Things (IoT) is the nova emergence of connecting devices, people, and objects over the internet as sensors and actuators for a targeted application. Among popular IoT applications, location based IoT s...
详细信息
With the continuous development of internettechnology, China has fully entered the information age. At the same time, image processing technology has also been further developed and applied, especially in the field o...
详细信息
The target detection and recognition technology of sonar images plays an important role in the field of marine environment monitoring. The traditional method mainly uses CNN to study sonar image recognition. However, ...
详细信息
Free space optical (FSO) communication is a fast and wireless data transfer technique that serves as a viable alternative to traditional fiber-optic systems. This study illustrates how FSO can effectively address the ...
详细信息
暂无评论