Multi-objective ranking to optimize CNN's encoding features: application to the optimization of tracer dose for scintigraphic imagery

DOI10.1007/978-3-031-48303-5_6MaRDI QIDQ6120598

Hichem Maaref, J.-P. Conge, Vincent Vigneron

Publication date: 25 March 2024

Published in: Informatics in Control, Automation and Robotics (Search for Journal in Brave)

zbMATH Keywords

segmentationrank aggregationdeep learningcontour extractionpooling function

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55)

Cites Work

• Voting paradoxes and group coherence. The Condorcet efficiency of voting rules.
• An introduction to neural network methods for differential equations
• Representations of Elementary Abelian <I>p</I>-Groups and Vector Bundles
• Contributions to the Theory of Rank Order Statistics-the Two-Sample Case
• Unnamed Item
• Unnamed Item

This page was built for publication: Multi-objective ranking to optimize CNN's encoding features: application to the optimization of tracer dose for scintigraphic imagery