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Cited by 23Medical Image Segmentation TechniquesAdvanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation

Ravishankar, Hariharan, Thiruvenkadam, S., Venkataramani, R., Vaidya, V.·2017·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-59050-9_49
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References 24 · Cited by 23

Authors
Ravishankar, H., Thiruvenkadam, S., Venkataramani, R., & Vaidya, V.
Corresponding author
Ravishankar, Hariharan
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2017
Pages
622-632
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-59050-9_49
OpenAlex
W2620487580
Cited by
23
References
24
Citations by year
2025: 1 · 2024: 3 · 2022: 1 · 2021: 4 · 2020: 5 · 2019: 6 · 2017: 3
FWCI
1.12
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Keywords
semantic segmentation, medical image segmentation, generative models, spatial context, overfitting, transfer learning, limited training data, fully convolutional network

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