Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology.
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| Title: | Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology. |
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| Authors: | Lin Y; Electrical & Computer Engineering Department, Faculty of Engineering, University of Alberta, 116 Street, Edmonton, Canada T6G 1H9., Li X; Electrical & Computer Engineering Department, Faculty of Engineering, University of Alberta, 116 Street, Edmonton, Canada T6G 1H9., Milovanović J; Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, Belgrade 11000, Serbia., Todorović Raković N; Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, Belgrade 11000, Serbia., Vranes V; Department of Basic and Environmental Science, Instituto Tecnológico de Santo Domingo (INTEC), Avenida de Los Próceres #49, Los Jardines del Norte, Santo Domingo 10602, Dominican Republic., Vujasinović T; Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, Belgrade 11000, Serbia., Kanjer K; Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, Belgrade 11000, Serbia., Radulovic M; Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, Belgrade 11000, Serbia. |
| Source: | Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada [Microsc Microanal] 2025 May 09; Vol. 31 (3). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9712707 Publication Model: Print Cited Medium: Internet ISSN: 1435-8115 (Electronic) Linking ISSN: 14319276 NLM ISO Abbreviation: Microsc Microanal Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1435-8115 |
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| DOI: | 10.1093/mam/ozaf044 |
