Cargando…
Parallelized Seeded Region Growing Using CUDA
This paper presents a novel method for parallelizing the seeded region growing (SRG) algorithm using Compute Unified Device Architecture (CUDA) technology, with intention to overcome the theoretical weakness of SRG algorithm of its computation time being directly proportional to the size of a segmen...
Autores principales: | Park, Seongjin, Lee, Jeongjin, Lee, Hyunna, Shin, Juneseuk, Seo, Jinwook, Lee, Kyoung Ho, Shin, Yeong-Gil, Kim, Bohyoung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4189527/ https://www.ncbi.nlm.nih.gov/pubmed/25309619 http://dx.doi.org/10.1155/2014/856453 |
Ejemplares similares
-
Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images
por: Kang, Ho Chul, et al.
Publicado: (2015) -
Automatic Four-Chamber Segmentation Using Level-Set Method and Split Energy Function
por: Kang, Ho Chul, et al.
Publicado: (2016) -
Programming in parallel with CUDA : a practical guide /
por: Ansorge, Richard
Publicado: (2022) -
Rapid and Accurate Registration Method between Intraoperative 2D XA and Preoperative 3D CTA Images for Guidance of Percutaneous Coronary Intervention
por: Park, Taeyong, et al.
Publicado: (2019) -
CUDA for engineers: an introduction to high-performance parallel computing
por: Storti, Duane, et al.
Publicado: (2016)