Binary segmentation of medical images using implicit spline representations and deep learning

DOI10.1016/j.cagd.2021.101972OpenAlexW3134697290MaRDI QIDQ2020353

Ivar Stangeby, Varatharajan Nainamalai, Georg Muntingh, Oliver J. D. Barrowclough

Publication date: 23 April 2021

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2102.12759

zbMATH Keywords

medical imagingimage segmentationdeep learningshape modellingimplicit spline representations

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Artificial neural networks and deep learning (68T07)

Related Items (1)

GMP2021 - 15th international conference on geometric modeling and processing

Uses Software

• U-Net
• Cityscapes
• DISN
• PyG

Cites Work

• Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?

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