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A survey of CPU-GPU heterogeneous computing techniques
As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …
acknowledged that both of these Processing Units (PUs) have their unique features and …
[HTML][HTML] Detection of lumbar spondylolisthesis from X-ray images using deep learning network
Spondylolisthesis refers to the displacement of a vertebral body relative to the vertrabra
below it, which can cause radicular symptoms, back pain or leg pain. It usually occurs in the …
below it, which can cause radicular symptoms, back pain or leg pain. It usually occurs in the …
Vertebra identification using template matching modelmp and -means clustering
Purpose Accurate vertebra detection and segmentation are essential steps for automating
the diagnosis of spinal disorders. This study is dedicated to vertebra alignment …
the diagnosis of spinal disorders. This study is dedicated to vertebra alignment …
A multi-resolution FPGA-based architecture for real-time edge and corner detection
This work presents a new flexible parameterizable architecture for image and video
processing with reduced latency and memory requirements, supporting a variable input …
processing with reduced latency and memory requirements, supporting a variable input …
Multitask deep learning for segmentation and lumbosacral spine inspection
HY Lin, HW Liu - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Multitask learning (MTL) has achieved notable progress in many medical applications. In
this article, we propose a multitask neural network, MRNet, for segmentation and spinal …
this article, we propose a multitask neural network, MRNet, for segmentation and spinal …
LPAQR-Net: efficient vertebra segmentation from biplanar whole-spine radiographs
Vertebra segmentation from biplanar whole-spine radiographs is highly demanded in the
quantitative assessment of scoliosis and the resultant sagittal deformities. However …
quantitative assessment of scoliosis and the resultant sagittal deformities. However …
[PDF][PDF] Real-time motion tracking using optical flow on multiple GPUs
Motion tracking algorithms are widely used in computer vision related research. However,
the new video standards, especially those in high resolutions, cause that current …
the new video standards, especially those in high resolutions, cause that current …
Fully automatic vertebra detection in x-ray images based on multi-class SVM
Automatically detecting vertebral bodies in X-Ray images is a very complex task, especially
because of the noise and the low contrast resulting in that kind of medical imagery modality …
because of the noise and the low contrast resulting in that kind of medical imagery modality …
Cloud architecture for plant phenoty** research
Digital phenoty** is an emergent science mainly based on imagery techniques. The
tremendous amount of data generated needs important cloud computing for their …
tremendous amount of data generated needs important cloud computing for their …
Semi-automatic detection of cervical vertebrae in X-ray images using generalized Hough transform
Vertebra detection presents the first step of any automatic spinal column diagnosis. This task
becomes more difficult in the case of the cervical X-ray images characterized by their low …
becomes more difficult in the case of the cervical X-ray images characterized by their low …