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Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research
Purpose: Deep learning has achieved major breakthroughs during the past decade in almost every field. There are plenty of publicly available algorithms, each designed to address a different task of computer vision in general. However, most of these algorithms cannot be directly applied to images in...
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| Publicat a: | J Med Imaging (Bellingham) |
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| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7790158/ https://ncbi.nlm.nih.gov/pubmed/33426151 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.1.010901 |
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