@inproceedings{05250c8691e54cde8060c33a1d48bc74,
title = "Accelerating colonic polyp detection using commodity graphics hardware",
abstract = "We present a parallel implementation of an algorithm for the detection of colonic polyps from CT data sets. This implementation is designed specifically to take advantage of the computational power available on modern Graphics Processing Units (GPUs), which significantly reduces the execution time to streamline the workflow of clinicians examining the data. We provide details about the changes which were made to the existing algorithm to suit the new target hardware, and perform tests which demonstrate that the results are a very close match to the reference implementation while being computed in a fraction of the time.",
keywords = "Colon screening, Computer aided diagnosis, GPU computing",
author = "David Williams and Valeriu Codreanu and Roerdink, \{Jos B.T.M.\} and Po Yang and Baoquan Liu and Feng Dong and Alessandro Chiarini",
year = "2013",
month = apr,
day = "22",
doi = "10.1109/ICCMA.2013.6506147",
language = "English",
isbn = "9781467352147",
series = "International Conference on Computer Medical Applications, ICCMA 2013",
publisher = "IEEE Computer Society",
booktitle = "International Conference on Computer Medical Applications, ICCMA 2013",
address = "United States",
note = "2013 International Conference on Computer Medical Applications, ICCMA 2013 ; Conference date: 20-01-2013 Through 22-01-2013",
}