A DEEP REINFORCEMENT LEARNING NETWORK AS A TRAINABLE CANCER STAGING SYSTEM

Beril Sirmaçek, Momen Abayazid, Hamid Naghibi Beidokhti, Ferdinand van der Heijden, Jeffrey Dokter

Research output: Contribution to conference › Abstract › Academic

Original language	English
Publication status	Published - 2019
Event	25th Congress of the European Society of Biomechanics - University of Vienna, Vienna, Austria Duration: 7 Jul 2019 → 10 Jul 2019 Conference number: 25 https://esbiomech.org/conference/esb2019/

Conference	25th Congress of the European Society of Biomechanics
Abbreviated title	ESB 2019
Country/Territory	Austria
City	Vienna
Period	7/07/19 → 10/07/19
Internet address	https://esbiomech.org/conference/esb2019/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "A DEEP REINFORCEMENT LEARNING NETWORK AS A TRAINABLE CANCER STAGING SYSTEM",

author = "Beril Sirma{\c c}ek and Momen Abayazid and \{Naghibi Beidokhti\}, Hamid and \{van der Heijden\}, Ferdinand and Jeffrey Dokter",

year = "2019",

language = "English",

note = "25th Congress of the European Society of Biomechanics , ESB 2019 ; Conference date: 07-07-2019 Through 10-07-2019",

url = "https://esbiomech.org/conference/esb2019/",

}

TY - CONF

T1 - A DEEP REINFORCEMENT LEARNING NETWORK AS A TRAINABLE CANCER STAGING SYSTEM

AU - Sirmaçek, Beril

AU - Abayazid, Momen

AU - Naghibi Beidokhti, Hamid

AU - van der Heijden, Ferdinand

AU - Dokter, Jeffrey

N1 - Conference code: 25

PY - 2019

Y1 - 2019

M3 - Abstract

T2 - 25th Congress of the European Society of Biomechanics

Y2 - 7 July 2019 through 10 July 2019

ER -