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Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection.
Abbet, Christian; Studer, Linda; Fischer, Andreas; Dawson, Heather; Zlobec, Inti; Bozorgtabar, Behzad; Thiran, Jean-Philippe.
Affiliation
  • Abbet C; Signal Processing Lab 5 (LTS5), EPFL, Lausanne, Switzerland; Institute of Pathology, University of Bern, Switzerland. Electronic address: christian.abbet@epfl.ch.
  • Studer L; Institute of Pathology, University of Bern, Switzerland; Documents, Image and Video Analysis (DIVA) Research Group, University of Fribourg, Switzerland; iCoSyS, University of Applied Sciences and Arts Western Switzerland, Switzerland.
  • Fischer A; Documents, Image and Video Analysis (DIVA) Research Group, University of Fribourg, Switzerland; iCoSyS, University of Applied Sciences and Arts Western Switzerland, Switzerland.
  • Dawson H; Institute of Pathology, University of Bern, Switzerland.
  • Zlobec I; Institute of Pathology, University of Bern, Switzerland.
  • Bozorgtabar B; Signal Processing Lab 5 (LTS5), EPFL, Lausanne, Switzerland; Center of Biomedical Imaging (CIBM), Switzerland.
  • Thiran JP; Signal Processing Lab 5 (LTS5), EPFL, Lausanne, Switzerland; Center of Biomedical Imaging (CIBM), Switzerland; University of Lausanne (UNIL), Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois (CHUV), Switzerland.
Med Image Anal ; 79: 102473, 2022 07.
Article in En | MEDLINE | ID: mdl-35576822
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Country of publication: Netherlands
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Country of publication: Netherlands