Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors

Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors

Early cancer detection, guided by whole-body imaging, is important for the overall survival and well-being of the patients. While various computer-assisted systems have been developed to expedite and enhance cancer diagnostics and longitudinal monitoring, the detection and segmentation of tumors, es...

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Bibliographic Details
Main Authors: Sambit Tarai, Elin Lundström, Therese Sjöholm, Hanna Jönsson, Alexander Korenyushkin, Nouman Ahmad, Mette A. Pedersen, Daniel Molin, Gunilla Enblad, Robin Strand, Håkan Ahlström, Joel Kullberg
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Whole-body tumor segmentation
Medical image analysis
Deep learning
Maximum intensity projection
Backprojection
Segmentation prior
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024024459

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http://www.sciencedirect.com/science/article/pii/S2405844024024459

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