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Centre Georges François Leclerc

France

2 papers here54 citations across 2
fields
  • cs.CV1
  • eess.IV1
ROR 00pjqzf38OpenAlex

affiliations via OpenAlex

most citedLearning With Context Feedback Loop for Robust Medical Image Segmentation

54 citations

researchers with a paper here
  • A. Cochet1 · h 4
  • Alain Lalande1 · h 2
  • A. Lalande1 · h 32
  • Benoît Presles1 · h 9
  • Fabrice Mériaudeau1 · h 3
  • G. Créhange1 · h 35
  • J. Vrigneaud1 · h 17
  • K. Girum1 · h 11
  • Laurent Arnould1 · h 3
  • N. Payan1 · h 3
  • Tewele W. Tareke1 · h 2
collaborating institutions
  • Maison des Sciences sociales et des Humanités de DijonFR2 papers
  • Université de BourgogneFR2 papers
  • Centre National de la Recherche ScientifiqueFR1 paper
  • CHU Dijon BourgogneFR1 paper
  • ImViA - Imagerie et Vision ArtificielleFR1 paper
  • Institut CurieFR1 paper
  • Institut de Chimie Moléculaire de l'Université de BourgogneFR1 paper

2 papers

cs.CV2025

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation

Tewele W. Tareke, Neree Payan, Alexandre Cochet +5

Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in breast cancer with 18F-FDG Positron Emission Tomography (PET). Our work aims to lever…

eess.IV2021★ 54 cited

Learning With Context Feedback Loop for Robust Medical Image Segmentation

Kibrom Berihu Girum, Gilles Créhange, Alain Lalande

Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive image features from a defined pixe…

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