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Titel:

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.

Dokumenttyp:
Journal Article
Autor(en):
Li, Hongwei; Shi, Kuangyu; Reichert, Maximilian; Lin, Kanru; Tselousov, Nikita; Braren, Rickmer; Fu, Deliang; Schmid, Roland; Li, Ji; Menze, Bjoern
Abstract:
The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for early differential diagnosis of pancreatic cysts, which are identified in up to 16% of normal subjects, and some of them may develop into PDAC. Pancreatic cysts have a large variation in size and shape, and the precise segmentation of them remains rather challenging, which restricts the computer-aided interpretation of CT images acquired for differential diagnosis. We propose a computer-aided framework for early differential...     »
Zeitschriftentitel:
Conf Proc IEEE Eng Med Biol Soc
Jahr:
2019
Band / Volume:
2019
Seitenangaben Beitrag:
2095-2098
Volltext / DOI:
doi:10.1109/EMBC.2019.8856745
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/31946314
Print-ISSN:
1557-170X
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie
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