Handling Missing Annotations for Semantic Segmentation with Deep ConvNets

Annotation of medical images for semantic segmentation is a very time consuming and difficult task. Moreover, clinical experts often focus on specific anatomical structures and thus, produce partially annotated images. In this paper, we introduce SMILE, a new deep convolutional neural network which...

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Bibliographische Detailangaben

Hauptverfasser:	Petit, Olivier, Thome, Nicolas, Charnoz, Arnaud, Hostettler, Alexandre, Soler, Luc
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Computer Science Convolutional Neural Networks Deep learning Incomplete ground truth annotation Medical images Medical Imaging Missing labels Noisy labels
Online-Zugang:	Volltext
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