Journal Article (Letter)

DKFZ-2019-01660

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Radiomic Machine Learning: Is It Really a Useful Method for the Characterization of Prostate Cancer? Response

Bonekamp, D. (First author)DKFZ* ; Kohl, S.DKFZ* ; Wiesenfarth, M.DKFZ* ; Schelb, P.DKFZ* ; Radtke, J. P.DKFZ* ; Goetz, M.DKFZ* ; Kickingereder, P.DKFZ* ; Yaqubi, K.DKFZ* ; Hitthaler, B.DKFZ* ; Gaehlert, N.DKFZ* ; Kuder, T. A.DKFZ* ; Deister, F.DKFZ* ; Freitag, M.DKFZ* ; Hohenfellner, M.DKFZ* ; Hadaschik, B. A.DKFZ* ; Schlemmer, H.-P.DKFZ* ; Maier-Hein, K. H. (Last author)DKFZ*

2019
Soc. Oak Brook, Ill.

This record in other databases:

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Contributing Institute(s):

1. E010 Radiologie (E010)
2. DKTK Heidelberg (L101)
3. C060 Biostatistik (C060)
4. E230 Medizinische Bildverarbeitung (E230)

Research Program(s):

1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2019

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Database coverage:
; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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