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Automated Classification of Malignant and Benign Breast Cancer Lesions Using Neural Networks on Digitized Mammograms
We propose a novel neural network approach for the classification of abnormal mammographic images into benign or malignant based on their texture representations. The proposed framework has the capability of mapping high dimensional feature space into a lower-dimension, in a supervised way. The main...
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| Publicat a: | Cancer Inform |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SAGE Publications
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6580711/ https://ncbi.nlm.nih.gov/pubmed/31244522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1176935119857570 |
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