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Titel:

Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.

Dokumenttyp:
Journal Article
Autor(en):
Adams, Lisa C; Makowski, Marcus R; Engel, Günther; Rattunde, Maximilian; Busch, Felix; Asbach, Patrick; Niehues, Stefan M; Vinayahalingam, Shankeeth; van Ginneken, Bram; Litjens, Geert; Bressem, Keno K
Abstract:
BACKGROUND: The development of deep learning (DL) models for prostate segmentation on magnetic resonance imaging (MRI) depends on expert-annotated data and reliable baselines, which are often not publicly available. This limits both reproducibility and comparability. METHODS: Prostate158 consists of 158 expert annotated biparametric 3T prostate MRIs comprising T2w sequences and diffusion-weighted sequences with apparent diffusion coefficient maps. Two U-ResNets trained for segmentation of anatom...     »
Zeitschriftentitel:
Comput Biol Med
Jahr:
2022
Band / Volume:
148
Volltext / DOI:
doi:10.1016/j.compbiomed.2022.105817
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35841780
Print-ISSN:
0010-4825
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie
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