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

Topological data analysis provides tools to capture wide-scale structural shape information in data. Its main method, persistent homology, has found successful applications to various machine-learning problems. Despite its recent gain in popularity, much of its potential for medical image analysis r...

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Detalles Bibliográficos
Autores principales: Vandaele, Robin, Mukherjee, Pritam, Selby, Heather Marie, Shah, Rajesh Pravin, Gevaert, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868648/
https://www.ncbi.nlm.nih.gov/pubmed/36699734
http://dx.doi.org/10.1016/j.patter.2022.100657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868648/
https://www.ncbi.nlm.nih.gov/pubmed/36699734
http://dx.doi.org/10.1016/j.patter.2022.100657

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