DeepSGUS: Fully convolutional neural network for semantic segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images

Nenad Filipovic; Vukićević, Arso M.; Milos Radovic; Alen Zabotti; Vera Milic; Salvatore De Vita

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eNauka > Results > DeepSGUS: Fully convolutional neural network for semantic segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images

Title:	DeepSGUS: Fully convolutional neural network for semantic segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images
Authors:	Nenad Filipovic; Vukićević, Arso M. ; Milos Radovic; Alen Zabotti; Vera Milic; Salvatore De Vita
Issue Date:	2019
Publication:	2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2019), Chicago, USA.
Publisher:	IEEE
Type:	Conference Paper
Collation:	br. T-55
URI:	https://enauka.gov.rs/handle/123456789/459826
Metadata source:	Migrirano iz RIS podataka
M-category:	Mp. category will be shown later

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