A Practical Roadmap to Implementing Deep Learning Segmentation in the Clinical Neuroimaging Research Workflow-Reference-Cited by-同舟云学术

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A Practical Roadmap to Implementing Deep Learning Segmentation in the Clinical Neuroimaging Research Workflow

Published:2024-09 Issue: Volume:189 Page:193-200
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

Pérez Cáceres Marco^ORCID,Gauvin Alexandre,Dumais Félix,Iorio-Morin Christian

Publisher

Elsevier BV

Reference38 articles.

1. The medical segmentation decathlon;Antonelli;Nat Commun,2022

2. Predicting the future — big data, machine learning, and clinical medicine;Obermeyer;N Engl J Med,2016

3. A guide to deep learning in healthcare;Esteva;Nat Med,2019

4. Transfer learning techniques for medical image analysis: a review;Kora;Biocybern Biomed Eng,2022

5. A deep learning approach for brain tumor classification and segmentation using a multiscale convolutional neural network;Díaz-Pernas;Healthcare,2021

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