Hybrid multi-GPU computing: accelerated kernels for segmentation and object detection with medical image processing applications

@article{Graca2015HybridMC,
  title={Hybrid multi-GPU computing: accelerated kernels for segmentation and object detection with medical image processing applications},
  author={Carlos Graca and Gabriel Falc{\~a}o Paiva Fernandes and Isabel N. Figueiredo and Sunil Kumar},
  journal={Journal of Real-Time Image Processing},
  year={2015},
  volume={13},
  pages={227-244}
}
In the last two decades, we have seen an amazing development of image processing techniques targeted for medical applications. We propose multi-GPU-based parallel real-time algorithms for segmentation and shape-based object detection, aiming at accelerating two medical image processing methods: automated blood detection in wireless capsule endoscopy (WCE) images and automated bright lesion detection in retinal fundus images. In the former method we identified segmentation and object detection… CONTINUE READING