Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gert Sluiter"'
Autor:
Maria Wimmer, Gert Sluiter, Theresa Neubauer, Astrid Berg, Dimitrios Lenis, Katja Bühler, David Major
Publikováno v:
IEEE Transactions on Medical Imaging. 41:937-950
Machine learning and deep learning methods have become essential for computer-assisted prediction in medicine, with a growing number of applications also in the field of mammography. Typically these algorithms are trained for a specific task, e.g., t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c080872088599292a7204e7baaaf490d
https://doi.org/10.1109/tmi.2021.3129068
https://doi.org/10.1109/tmi.2021.3129068
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597092
MICCAI (1)
MICCAI (1)
The success of machine learning methods for computer vision tasks has driven a surge in computer assisted prediction for medicine and biology. Based on a data-driven relationship between input image and pathological classification, these predictors d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d69a3bcfa0c5c13d00a069af5f39c07
https://doi.org/10.1007/978-3-030-59710-8_31
https://doi.org/10.1007/978-3-030-59710-8_31
Publikováno v:
ISBI
Clinical applicability of automated decision support systems depends on a robust, well-understood classification interpretation. Artificial neural networks while achieving class-leading scores fall short in this regard. Therefore, numerous approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::716e64ecf3813aff414b53154c049b57
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030590024
DEXA (1)
DEXA (1)
We present here a new parameter-free clustering algorithm that does not impose any assumptions on the data. Based solely on the premise that close data points are more likely to be in the same cluster, it can autonomously create clusters. Neither the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115e851b7e095a8b458cf6c654789bd9
https://doi.org/10.1007/978-3-030-59003-1_15
https://doi.org/10.1007/978-3-030-59003-1_15
Publikováno v:
IEEE transactions on medical imaging. 36(6)
We propose an automated pipeline for vessel centerline extraction in 3-D computed tomography angiography (CTA) scans with arbitrary fields of view. The principal steps of the pipeline are body part detection, candidate seed selection, segment trackin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a795660f48ff0eb05332cd11fe7a3bfb
https://pubmed.ncbi.nlm.nih.gov/28362584
https://pubmed.ncbi.nlm.nih.gov/28362584