PortalPublikationenTowards Explainable End-to-End Prostate Cancer Relapse Predi...

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network

Standard

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. / Dietrich, Esther; Fuhlert, Patrick; Ernst, Anne; Sauter, Guido; Lennartz, Ernst Maximilian Heinrich; Stiehl, Siegfried; Zimmermann, Marina; Bonn, Stefan.

Machine Learning for Health (ML4H) 2021: Proceedings of Machine Learning Research LEAVE UNSET:1–16, 2021. Band 158 Cornell University, 2021. S. 38-53.

Publikationen: SCORING: Beitrag in Buch/Sammelwerk › Konferenzbeitrag - Poster › Forschung

Harvard

Dietrich, E, Fuhlert, P, Ernst, A, Sauter, G, Lennartz, EMH, Stiehl, S, Zimmermann, M & Bonn, S 2021, Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. in Machine Learning for Health (ML4H) 2021: Proceedings of Machine Learning Research LEAVE UNSET:1–16, 2021. Bd. 158, Cornell University, S. 38-53.

APA

Dietrich, E., Fuhlert, P., Ernst, A., Sauter, G., Lennartz, E. M. H., Stiehl, S., Zimmermann, M., & Bonn, S. (2021). Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. in Machine Learning for Health (ML4H) 2021: Proceedings of Machine Learning Research LEAVE UNSET:1–16, 2021 (Band 158, S. 38-53). Cornell University.

Vancouver

Dietrich E, Fuhlert P, Ernst A, Sauter G, Lennartz EMH, Stiehl S et al. Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. in Machine Learning for Health (ML4H) 2021: Proceedings of Machine Learning Research LEAVE UNSET:1–16, 2021. Band 158. Cornell University. 2021. S. 38-53

Bibtex

@inbook{8bbc67e9f9844bf38dbece37814fb627,
title = "Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network",
author = "Esther Dietrich and Patrick Fuhlert and Anne Ernst and Guido Sauter and Lennartz, {Ernst Maximilian Heinrich} and Siegfried Stiehl and Marina Zimmermann and Stefan Bonn",
year = "2021",
month = nov,
day = "26",
language = "English",
volume = "158",
pages = "38--53",
booktitle = "Machine Learning for Health (ML4H) 2021",
publisher = "Cornell University",
address = "United States",

}

RIS

TY - CHAP

T1 - Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network

AU - Dietrich, Esther

AU - Fuhlert, Patrick

AU - Ernst, Anne

AU - Sauter, Guido

AU - Lennartz, Ernst Maximilian Heinrich

AU - Stiehl, Siegfried

AU - Zimmermann, Marina

AU - Bonn, Stefan

PY - 2021/11/26

Y1 - 2021/11/26

UR - https://arxiv.org/abs/2111.13439v1

M3 - Conference contribution - Poster

VL - 158

SP - 38

EP - 53

BT - Machine Learning for Health (ML4H) 2021

PB - Cornell University

ER -