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Titel:

Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.

Dokumenttyp:
Journal Article
Autor(en):
Shen, Chen; Roth, Holger R; Hayashi, Yuichiro; Oda, Masahiro; Sato, Gen; Miyamoto, Tadaaki; Rueckert, Daniel; Mori, Kensaku
Abstract:
PURPOSE: Pancreatic duct dilation is associated with an increased risk of pancreatic cancer, the most lethal malignancy with the lowest 5-year relative survival rate. Automatic segmentation of the dilated pancreatic duct from contrast-enhanced CT scans would facilitate early diagnosis. However, pancreatic duct segmentation poses challenges due to its small anatomical structure and poor contrast in abdominal CT. In this work, we investigate an anatomical attention strategy to address this issue....     »
Zeitschriftentitel:
Int J Comput Assist Radiol Surg
Jahr:
2024
Band / Volume:
19
Heft / Issue:
4
Seitenangaben Beitrag:
655-664
Volltext / DOI:
doi:10.1007/s11548-023-03049-z
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38498132
Print-ISSN:
1861-6410
TUM Einrichtung:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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