Benutzer: Gast  Login
Titel:

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.

Dokumenttyp:
Journal Article
Autor(en):
Kreitner, Linus; Paetzold, Johannes C; Rauch, Nikolaus; Chen, Chen; Hagag, Ahmed M; Fayed, Alaa E; Sivaprasad, Sobha; Rausch, Sebastian; Weichsel, Julian; Menze, Bjoern H; Harders, Matthias; Knier, Benjamin; Rueckert, Daniel; Menten, Martin J
Abstract:
Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality that can acquire high-resolution volumes of the retinal vasculature and aid the diagnosis of ocular, neurological and cardiac diseases. Segmenting the visible blood vessels is a common first step when extracting quantitative biomarkers from these images. Classical segmentation algorithms based on thresholding are strongly affected by image artifacts and limited signal-to-noise ratio. The use of modern, deep learni...     »
Zeitschriftentitel:
IEEE Trans Med Imaging
Jahr:
2024
Band / Volume:
43
Heft / Issue:
6
Seitenangaben Beitrag:
2061-2073
Volltext / DOI:
doi:10.1109/TMI.2024.3354408
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38224512
Print-ISSN:
0278-0062
TUM Einrichtung:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
 BibTeX