Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes-Reference-Cited by-同舟云学术

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Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes

Published:2024-11 Issue: Volume:606 Page:128360
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kebaili Aghiles^ORCID,Lapuyade-Lahorgue Jérôme,Vera Pierre,Ruan Su^ORCID

Publisher

Elsevier BV

Reference64 articles.

1. An overview of deep learning in medical imaging focusing on MRI;Lundervold;Z. Med. Phys.,2019

2. Semi-supervised multiple evidence fusion for brain tumor segmentation;Huang;Neurocomputing,2023

3. GAN-based synthetic brain PET image generation;Islam;Brain Inform.,2020

4. Lymphoma segmentation from 3D PET-CT images using a deep evidential network;Huang;Internat. J. Approx. Reason.,2022

5. Deep learning enables accurate diagnosis of novel coronavirus (COVID-19) with CT images;Song;IEEE/ACM Trans. Comput. Biol. Bioinform.,2021

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