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MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.
Kuang, Sheng; Woodruff, Henry C; Granzier, Renee; van Nijnatten, Thiemo J A; Lobbes, Marc B I; Smidt, Marjolein L; Lambin, Philippe; Mehrkanoon, Siamak.
Affiliation
  • Kuang S; The D-Lab, Department of Precision Medicine, GROW - School or Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Woodruff HC; The D-Lab, Department of Precision Medicine, GROW - School or Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • Granzier R; Department of Surgery, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • van Nijnatten TJA; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Lobbes MBI; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands; Department of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
  • Smidt ML; Department of Surgery, Maastricht University Medical Centre+, Maastricht, The Netherlands; GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Lambin P; The D-Lab, Department of Precision Medicine, GROW - School or Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • Mehrkanoon S; Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands. Electronic address: s.mehrkanoon@uu.nl.
Neural Netw ; 165: 119-134, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37285729
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semantics / Breast Neoplasms Type of study: Guideline Limits: Female / Humans Language: En Journal: Neural Netw Journal subject: NEUROLOGIA Year: 2023 Document type: Article Affiliation country: Países Bajos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semantics / Breast Neoplasms Type of study: Guideline Limits: Female / Humans Language: En Journal: Neural Netw Journal subject: NEUROLOGIA Year: 2023 Document type: Article Affiliation country: Países Bajos