Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection

SIMPLE SUMMARY: The appearance of microcalcifications in mammogram images is an essential predictor for radiologists to detect early-stage breast cancer. This study aims to demonstrate the strength of persistent homology (PH) in noise filtering and feature extraction integrated with machine learning...

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Detalles Bibliográficos
Autores principales: Malek, Aminah Abdul, Alias, Mohd Almie, Razak, Fatimah Abdul, Noorani, Mohd Salmi Md, Mahmud, Rozi, Zulkepli, Nur Fariha Syaqina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177619/
https://www.ncbi.nlm.nih.gov/pubmed/37174071
http://dx.doi.org/10.3390/cancers15092606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177619/
https://www.ncbi.nlm.nih.gov/pubmed/37174071
http://dx.doi.org/10.3390/cancers15092606

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