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Titel:

Radiomics in radiooncology - Challenging the medical physicist.

Dokumenttyp:
Journal Article; Review
Autor(en):
Peeken, Jan C; Bernhofer, Michael; Wiestler, Benedikt; Goldberg, Tatyana; Cremers, Daniel; Rost, Burkhard; Wilkens, Jan J; Combs, Stephanie E; Nüsslin, Fridtjof
Abstract:
PURPOSE: Noticing the fast growing translation of artificial intelligence (AI) technologies to medical image analysis this paper emphasizes the future role of the medical physicist in this evolving field. Specific challenges are addressed when implementing big data concepts with high-throughput image data processing like radiomics and machine learning in a radiooncology environment to support clinical decisions. METHODS: Based on the experience of our interdisciplinary radiomics working group, t...     »
Zeitschriftentitel:
Phys Med
Jahr:
2018
Band / Volume:
48
Seitenangaben Beitrag:
27-36
Sprache:
eng
Volltext / DOI:
doi:10.1016/j.ejmp.2018.03.012
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/29728226
Print-ISSN:
1120-1797
TUM Einrichtung:
Fachgebiet Neuroradiologie (Prof. Zimmer); Klinik und Poliklinik für RadioOnkologie und Strahlentherapie
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