Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction.

Autor: Vandaele R; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium.; Data Mining and Modeling for Biomedicine, VIB Inflammation Research Center, 9052 Ghent, Belgium.; IDLab, Department of Electronics and Information Systems, Ghent University, Gent, Belgium., Mukherjee P; Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA., Selby HM; Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA., Shah RP; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.; Department of Radiology, Stanford University, Stanford, CA, USA., Gevaert O; Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA.

Publikováno v: Patterns (New York, N.Y.) [Patterns (N Y)] 2022 Dec 12; Vol. 4 (1), pp. 100657. Date of Electronic Publication: 2022 Dec 12 (Print Publication: 2023).