Cited by 60Brain Tumor Detection and ClassificationMedical Image Segmentation TechniquesGlioma Diagnosis and Treatment

Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation

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Fidon, Lucas, Li, Wenqi, Garcia-Peraza-Herrera, Luis C., Ekanayake, Jinendra, Kitchen, Neil, Ourselin, Sebastien, Vercauteren, Tom·2017·Lecture Notes in Computer Science

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References 12 · Cited by 60

Authors
Fidon, L., Li, W., Garcia-Peraza-Herrera, L. C., Ekanayake, J., Kitchen, N., Ourselin, S., & Vercauteren, T.
Affiliations
  • University College London (GB)
  • Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB)
  • National Hospital for Neurology and Neurosurgery (GB)
Corresponding author
Fidon, Lucas
Venue
Lecture Notes in Computer Science
Published
2017
Pages
285-293
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2630529475
Cited by
60
References
12
Citations by year
2025: 4 · 2024: 4 · 2023: 7 · 2022: 3 · 2021: 12 · 2020: 9 · 2019: 10 · 2018: 10 · 2017: 1
FWCI
9.63
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Nvidia
  • Wellcome Trust (HICF-T4-275, 203145Z, 203145/Z/16/Z, NS/A000027/1, NS/A000050/1)
  • National Institute for Health and Care Research (NS/A000027/1, HICF-T4-275)
  • University College London Hospitals NHS Foundation Trust
  • Engineering and Physical Sciences Research Council (EP/H046410, EP/K005278, H046410, EP/H046410/1, EP/J020990/1, J020990, WT101957, NS /A000027/1, NS/A000050/1, 203145/Z/16/Z)
Topics
  • Life Sciences › Neuroscience › Neurology › Brain Tumor Detection and Classification
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
Keywords
brain tumor segmentation, multimodal MRI, convolutional neural networks, scalable network architecture, T1-weighted imaging, FLAIR MRI, T2-weighted MRI, computer-assisted surgery, regularization

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