Improving abdominal image segmentation with overcomplete shape priors

A. Sadikine; Bogdan Badic; J.-P. Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze

doi:10.1016/j.compmedimag.2024.102356

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Improving abdominal image segmentation with overcomplete shape priors

A. Sadikine Bogdan Badic J.-P. Tasu Vincent Noblet Pascal Ballet Dimitris Visvikis Pierre-Henri Conze

Year: 2024 Journal: Computerized Medical Imaging and Graphics Vol: 113 Pages: 102356-102356 Publisher: Elsevier BV

DOI: 10.1016/j.compmedimag.2024.102356

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Keywords:

Artificial intelligence Prior probability Computer science Segmentation Embedding Deep learning Pattern recognition (psychology) Encoder Image segmentation Autoencoder Convolutional neural network Image (mathematics) Computer vision Bayesian probability

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AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Improving abdominal image segmentation with overcomplete shape priors

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