IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound

We present an accurate, fast and efficient method for segmentation and muscle mask propagation in 3D freehand ultrasound data, towards accurate volume quantification. A deep Siamese 3D Encoder-Decoder network that captures the evolution of the muscle appearance and shape for contiguous slices is dep...

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Vydané v:	IEEE transactions on medical imaging Ročník 40; číslo 10; s. 2615 - 2628
Hlavní autori:	Chanti, Dawood Al, Duque, Vanessa Gonzalez, Crouzier, Marion, Nordez, Antoine, Lacourpaille, Lilian, Mateus, Diana
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Predmet:	3D ultrasound Annotations Artificial neural networks Coders Computer Science Computer Vision and Pattern Recognition Encoders-Decoders few-shot annotation Image Processing Image segmentation Learning Long short-term memory Machine Learning mask propagation Muscles Objective function Propagation pseudo-labeling segmentation Statistics Switches Task analysis Three-dimensional displays Training Two dimensional displays Ultrasonic imaging Ultrasound Few-Shot annotation Mask propagation Segmentation 3D Ultrasound Pseudo labelling
ISSN:	0278-0062, 1558-254X, 1558-254X
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