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Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor
This paper introduces a comparative analysis of the proficiencies of various textures and geometric features in the diagnosis of breast masses on mammograms. An improved machine learning-based framework was developed for this study. The proposed system was tested using 106 full field digital mammogr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752652/ https://www.ncbi.nlm.nih.gov/pubmed/35018506 http://dx.doi.org/10.1186/s42492-021-00100-1 |