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Deep learning analysis of mid-infrared microscopic imaging data for the diagnosis and classification of human lymphomas.
Zelger, P; Brunner, A; Zelger, B; Willenbacher, E; Unterberger, S H; Stalder, R; Huck, C W; Willenbacher, W; Pallua, J D.
Affiliation
  • Zelger P; University Hospital of Hearing, Voice and Speech Disorders, Medical University of Innsbruck, Innsbruck, Austria.
  • Brunner A; Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Innsbruck, Austria.
  • Zelger B; Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Innsbruck, Austria.
  • Willenbacher E; University Hospital of Internal Medicine V, Hematology & Oncology, Medical University of Innsbruck, Innsbruck, Austria.
  • Unterberger SH; Institute of Material-Technology, Leopold-Franzens University Innsbruck, Innsbruck, Austria.
  • Stalder R; Institute of Mineralogy and Petrography, Leopold-Franzens University Innsbruck, Innsbruck, Austria.
  • Huck CW; Institute of Analytical Chemistry and Radiochemistry, Innsbruck, Austria.
  • Willenbacher W; University Hospital of Internal Medicine V, Hematology & Oncology, Medical University of Innsbruck, Innsbruck, Austria.
  • Pallua JD; Oncotyrol, Centre for Personalized Cancer Medicine, Innsbruck, Austria.
J Biophotonics ; 16(11): e202300015, 2023 11.
Article in En | MEDLINE | ID: mdl-37578837

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Lymphoma Type of study: Diagnostic_studies Limits: Humans Language: En Journal: J Biophotonics Journal subject: BIOFISICA Year: 2023 Document type: Article Affiliation country: Austria Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Lymphoma Type of study: Diagnostic_studies Limits: Humans Language: En Journal: J Biophotonics Journal subject: BIOFISICA Year: 2023 Document type: Article Affiliation country: Austria Country of publication: Germany