@inbook{5cb7e1da2532456d853f74d51fb095f5,
title = "Siamese Network for Salivary Glands Segmentation",
abstract = "Our project aims to help physicians and experts, to diagnose Gougerot-Sj{\"o}gren{\textquoteright}s syndrome, by segmenting salivary glands, on ultrasound images (US). Our database contains 1143 US images of left and right parotid and sub-mandibular glands obtained with a Toshiba Aplio 800 at the CHRU hospital of Brest. This manuscript proposes a method based on a Siamese architecture with a Convolutional Neural Network. To reach our goal with a relatively small database, we train the Siamese network for texture differentiation on a gray-level texture dataset, that can be transferred without any further retraining, to segment salivary glands on a US dataset.",
keywords = "Convolutional neural network, Gougerot-Sj{\"o}gren{\textquoteright}s syndrome, Siamese network, Ultrasound imaging",
author = "Gabin Fodop and Aur{\'e}lien Olivier and Cl{\'e}ment Hoffmann and Ali Mansour and Sandrine Jousse-Joulin and Luc Bressollette and Benoit Clement",
year = "2022",
doi = "10.1007/978-981-19-3444-5_39",
language = "English",
isbn = "978-981-19-3443-8",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "449--457",
editor = "Ireneusz Czarnowski and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Intelligent Decision Technologies",
note = "14th International KES Conference on Intelligent Decision Technologies, KES-IDT 2022 ; Conference date: 20-06-2022 Through 22-06-2022",
}