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Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study

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Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study. / Garland, Jack; O'Connor, Kate; Milne, David; Hu, MIndy; Kesha, Kilak; Glenn, Charley; Morrow, Paul ; Stables, Simon; Tse, Rexson; Ondruschka, Benjamin.

In: Arch Kriminol, Vol. 250, 2022, p. 18-27.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Garland, J, O'Connor, K, Milne, D, Hu, MI, Kesha, K, Glenn, C, Morrow, P, Stables, S, Tse, R & Ondruschka, B 2022, 'Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study', Arch Kriminol, vol. 250, pp. 18-27.

APA

Garland, J., O'Connor, K., Milne, D., Hu, MI., Kesha, K., Glenn, C., Morrow, P., Stables, S., Tse, R., & Ondruschka, B. (2022). Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study. Arch Kriminol, 250, 18-27.

Vancouver

Garland J, O'Connor K, Milne D, Hu MI, Kesha K, Glenn C et al. Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study. Arch Kriminol. 2022;250:18-27.

Bibtex

@article{7035b19ecf714451b5061969ea7e93df,
title = "Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study",
author = "Jack Garland and Kate O'Connor and David Milne and MIndy Hu and Kilak Kesha and Charley Glenn and Paul Morrow and Simon Stables and Rexson Tse and Benjamin Ondruschka",
year = "2022",
language = "Deutsch",
volume = "250",
pages = "18--27",
journal = "Arch Kriminol",
issn = "0003-9225",
publisher = "Verlag Schmidt-Romhild",

}

RIS

TY - JOUR

T1 - Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study

AU - Garland, Jack

AU - O'Connor, Kate

AU - Milne, David

AU - Hu, MIndy

AU - Kesha, Kilak

AU - Glenn, Charley

AU - Morrow, Paul

AU - Stables, Simon

AU - Tse, Rexson

AU - Ondruschka, Benjamin

PY - 2022

Y1 - 2022

M3 - SCORING: Zeitschriftenaufsatz

VL - 250

SP - 18

EP - 27

JO - Arch Kriminol

JF - Arch Kriminol

SN - 0003-9225

ER -