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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |