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Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies
There has been recent substantial interest in extracting sub-visual features from medical images for improved disease characterization compared to what might be achievable via visual inspection alone. Features such as Haralick and Gabor can provide a multi-scale representation of the original image...
שמור ב:
| הוצא לאור ב: | Sci Rep |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Publishing Group UK
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5620056/ https://ncbi.nlm.nih.gov/pubmed/28959011 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-12569-z |
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