Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer

Armin Meier; Katharina Nekolla; Lindsay C. Hewitt; Sophie Earle; Takaki Yoshikawa; Takashi Oshima; Yohei Miyagi; Ralf Huss; Guenter Schmidt; Heike Grabsch

doi:10.1002/cjp2.170

Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer

Armin Meier, Katharina Nekolla, Lindsay C. Hewitt, Sophie Earle, Takaki Yoshikawa, Takashi Oshima, Yohei Miyagi, Ralf Huss, Guenter Schmidt, Heike Grabsch

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	273-282
Number of pages	10
Journal	Journal of Pathology
Volume	6
Issue number	4
Early online date	27 Jun 2020
DOIs	https://doi.org/10.1002/cjp2.170
Publication status	Published - Oct 2020

Keywords

gastric cancer
deep learning
survival analysis
computational pathology
tumour infiltrating immune cells
Ki67
KI-67 EXPRESSION
PROGNOSIS
CELLS
KI67

Access to Document

10.1002/cjp2.170Licence: CC BY-NC-ND

Cite this

@article{6ef393b4ec144d229cc2815359ac1864,

title = "Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer",

keywords = "gastric cancer, deep learning, survival analysis, computational pathology, tumour infiltrating immune cells, Ki67, KI-67 EXPRESSION, PROGNOSIS, CELLS, KI67",

author = "Armin Meier and Katharina Nekolla and Hewitt, {Lindsay C.} and Sophie Earle and Takaki Yoshikawa and Takashi Oshima and Yohei Miyagi and Ralf Huss and Guenter Schmidt and Heike Grabsch",

year = "2020",

month = oct,

doi = "10.1002/cjp2.170",

language = "English",

volume = "6",

pages = "273--282",

journal = "Journal of Pathology",

issn = "0022-3417",

publisher = "Wiley",

number = "4",

}

Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer. / Meier, Armin; Nekolla, Katharina; Hewitt, Lindsay C.; Earle, Sophie; Yoshikawa, Takaki; Oshima, Takashi; Miyagi, Yohei; Huss, Ralf; Schmidt, Guenter; Grabsch, Heike.

In: Journal of Pathology, Vol. 6, No. 4, 10.2020, p. 273-282.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer

AU - Meier, Armin

AU - Nekolla, Katharina

AU - Hewitt, Lindsay C.

AU - Earle, Sophie

AU - Yoshikawa, Takaki

AU - Oshima, Takashi

AU - Miyagi, Yohei

AU - Huss, Ralf

AU - Schmidt, Guenter

AU - Grabsch, Heike

PY - 2020/10

Y1 - 2020/10

KW - gastric cancer

KW - deep learning

KW - survival analysis

KW - computational pathology

KW - tumour infiltrating immune cells

KW - Ki67

KW - KI-67 EXPRESSION

KW - PROGNOSIS

KW - CELLS

KW - KI67

U2 - 10.1002/cjp2.170

DO - 10.1002/cjp2.170

M3 - Article

VL - 6

SP - 273

EP - 282

JO - Journal of Pathology

JF - Journal of Pathology

SN - 0022-3417

IS - 4

ER -