Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results

PURPOSE: Deep learning is emerging in radiology due to the increased computational capabilities available to reading rooms. These computational developments have the ability to mimic the radiologist and may allow for more accurate tissue characterization of normal and pathological lesion tissue to a...

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Bibliografiset tiedot
Julkaisussa:Med Phys
Päätekijät: Parekh, Vishwa S., Macura, Katarzyna J., Harvey, Susan C., Kamel, Ihab R., EI‐Khouli, Riham, Bluemke, David A., Jacobs, Michael A.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: John Wiley and Sons Inc. 2019
Aiheet:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7003775/
https://ncbi.nlm.nih.gov/pubmed/31598978
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13849
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