Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Angelo Genghi"'
Autor:
Benjamin Haas, Angelo Genghi, Annika Hänsch, Benjamin Geisler, Jan Schreier, Jan Klein, Jan Hendrik Moltz, Christiane Engel, Tomasz Morgas
Publikováno v:
Journal of Medical Imaging
Purpose: Hippocampus contouring for radiotherapy planning is performed on MR image data due to poor anatomical visibility on computed tomography (CT) data. Deep learning methods for direct CT hippocampus auto-segmentation exist, but use MR-based trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a594525c3c5fde792c48fbbb7706e35b
http://europepmc.org/articles/PMC7656855
http://europepmc.org/articles/PMC7656855
Autor:
Tomasz Morgas, Bianca Lassen-Schmidt, Jan Hendrik Moltz, Jan Schreier, Jan Klein, Angelo Genghi, Annika Hänsch, Benjamin Haas
Publikováno v:
ISBI
When training neural networks for segmentation, the Dice loss is typically used. Alternative loss functions could help the networks achieve results with higher user acceptance and lower correction effort, but they cannot be used directly if they are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9888ee3326267563e95fd23385c715ed
https://doi.org/10.1109/isbi45749.2020.9098557
https://doi.org/10.1109/isbi45749.2020.9098557
Publikováno v:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 145
Aim The segmentation of organs from a CT scan is a time-consuming task, which is one hindrance for adaptive radiation therapy. Through deep learning, it is possible to automatically delineate organs. Metrics like dice score do not necessarily represe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ce520be65980aa092ffa0bb8523a83
https://pubmed.ncbi.nlm.nih.gov/31869676
https://pubmed.ncbi.nlm.nih.gov/31869676