Automated annotation of digital H&E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumour burden in H&E-stained cutaneous melanoma

Patricia Switten Nielsen; Jeanette Bæhr Georgsen; Mads Sloth Vinding; Lasse Riis Østergaard; Torben Steiniche

doi:10.1007/s00428-022-03379-4

Automated annotation of digital H&E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumour burden in H&E-stained cutaneous melanoma

Patricia Switten Nielsen^*, Jeanette Bæhr Georgsen, Mads Sloth Vinding, Lasse Riis Østergaard, Torben Steiniche

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Konferenceabstrakt i tidsskrift › Forskning › peer review

1 Citationer (Scopus)

Originalsprog	Engelsk
Artikelnummer	PS-03-019
Tidsskrift	Virchows Archiv
Vol/bind	481
Nummer	S1
Sider (fra-til)	S80-S80
Antal sider	1
ISSN	0945-6317
DOI	https://doi.org/10.1007/s00428-022-03379-4
Status	Udgivet - aug. 2022
Begivenhed	34th European Congress of Pathology: The Art of Next Generation Pathology - Basel, Schweiz Varighed: 3 sep. 2022 → 7 sep. 2022 https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwixqbuC-fD5AhXkC6IDHS7rDQYYABAAGgJsZQ&ae=2&ohost=www.google.com&cid=CAESauD2WImS4aL5o-CP5mBVgmGPW9MzCn3ZzdU0vccz7VP7eIEE-RPX8ToA03GdGLwSpU0a_8wiRdHcM6IWxKmzLAtEZcFUo4uzNtEZE4v5JZM8tSM7CKyNw7IcwmsxN-miI7Y74t1pF-IPFUY&sig=AOD64_2kj-f7dhT_wPR1dyPNz7mwb-i-HQ&q&adurl&ved=2ahUKEwiznrOC-fD5AhXGiIsKHaW6A0oQ0Qx6BAgDEAM&nis=8&dct=1

Konference

Konference	34th European Congress of Pathology
Land/Område	Schweiz
By	Basel
Periode	03/09/2022 → 07/09/2022
Internetadresse	https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwixqbuC-fD5AhXkC6IDHS7rDQYYABAAGgJsZQ&ae=2&ohost=www.google.com&cid=CAESauD2WImS4aL5o-CP5mBVgmGPW9MzCn3ZzdU0vccz7VP7eIEE-RPX8ToA03GdGLwSpU0a_8wiRdHcM6IWxKmzLAtEZcFUo4uzNtEZE4v5JZM8tSM7CKyNw7IcwmsxN-miI7Y74t1pF-IPFUY&sig=AOD64_2kj-f7dhT_wPR1dyPNz7mwb-i-HQ&q&adurl&ved=2ahUKEwiznrOC-fD5AhXGiIsKHaW6A0oQ0Qx6BAgDEAM&nis=8&dct=1

Adgang til dokumentet

10.1007/s00428-022-03379-4

Citationsformater

@article{c017dad27f2d457eb648d0411ed21370,

title = "Automated annotation of digital H&E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumour burden in H&E-stained cutaneous melanoma",

keywords = "Bile Duct Neoplasms/pathology, Bile Ducts, Intrahepatic/pathology, Carcinoma in Situ/pathology, Cholangiocarcinoma/pathology, Humans, Klatskin Tumor/pathology, Lymphatic Metastasis/pathology, Tumor Suppressor Protein p53/analysis",

author = "Nielsen, {Patricia Switten} and Georgsen, {Jeanette B{\ae}hr} and Vinding, {Mads Sloth} and {\O}stergaard, {Lasse Riis} and Torben Steiniche",

note = "{\textcopyright} 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.; 34th European Congress of Pathology ; Conference date: 03-09-2022 Through 07-09-2022",

year = "2022",

month = aug,

doi = "10.1007/s00428-022-03379-4",

language = "English",

volume = "481",

pages = "S80--S80",

journal = "Virchows Archiv",

issn = "0945-6317",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "S1",

url = "https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwixqbuC-fD5AhXkC6IDHS7rDQYYABAAGgJsZQ&ae=2&ohost=www.google.com&cid=CAESauD2WImS4aL5o-CP5mBVgmGPW9MzCn3ZzdU0vccz7VP7eIEE-RPX8ToA03GdGLwSpU0a_8wiRdHcM6IWxKmzLAtEZcFUo4uzNtEZE4v5JZM8tSM7CKyNw7IcwmsxN-miI7Y74t1pF-IPFUY&sig=AOD64_2kj-f7dhT_wPR1dyPNz7mwb-i-HQ&q&adurl&ved=2ahUKEwiznrOC-fD5AhXGiIsKHaW6A0oQ0Qx6BAgDEAM&nis=8&dct=1",

}

Automated annotation of digital H&E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumour burden in H&E-stained cutaneous melanoma. / Nielsen, Patricia Switten ; Georgsen, Jeanette Bæhr ; Vinding, Mads Sloth et al.
I: Virchows Archiv, Bind 481, Nr. S1, PS-03-019, 08.2022, s. S80-S80.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Konferenceabstrakt i tidsskrift › Forskning › peer review

TY - ABST

T1 - Automated annotation of digital H&E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumour burden in H&E-stained cutaneous melanoma

AU - Nielsen, Patricia Switten

AU - Georgsen, Jeanette Bæhr

AU - Vinding, Mads Sloth

AU - Østergaard, Lasse Riis

AU - Steiniche, Torben

PY - 2022/8

Y1 - 2022/8

KW - Bile Duct Neoplasms/pathology

KW - Bile Ducts, Intrahepatic/pathology

KW - Carcinoma in Situ/pathology

KW - Cholangiocarcinoma/pathology

KW - Humans

KW - Klatskin Tumor/pathology

KW - Lymphatic Metastasis/pathology

KW - Tumor Suppressor Protein p53/analysis

U2 - 10.1007/s00428-022-03379-4

DO - 10.1007/s00428-022-03379-4

M3 - Conference abstract in journal

C2 - 35527321

SN - 0945-6317

VL - 481

SP - S80-S80

JO - Virchows Archiv

JF - Virchows Archiv

IS - S1

M1 - PS-03-019

T2 - 34th European Congress of Pathology

Y2 - 3 September 2022 through 7 September 2022

ER -