Automated scoring of tumour infiltrating lymphocytes informs risk of death from thin melanoma: a nested case-case study [Supplementary Tables]

Name: Automated scoring of tumour infiltrating lymphocytes informs risk of death from thin melanoma: a nested case-case study [Supplementary Tables]
Creator: Samuel X Tan
Published: 2025-12-25T03:15:25.189Z
Keywords: Dermatology, Histopathology, Melanoma, Image Analysis

Tan, Samuel X; Aung, Thazin N; Claeson, Magdalena; Acs, Balazs; Zhou, Chenhao; Brown, Susan; Lambie, Duncan; Baade, Peter; Pandeya, Nirmala; Soyer, H Peter; Smithers, B. Mark; Whiteman, David C.; Rimm, David L.; khosrotehrani, kiarash

doi:10.17632/9jhm839ck5.2

Automated scoring of tumour infiltrating lymphocytes informs risk of death from thin melanoma: a nested case-case study [Supplementary Tables]

Published: 25 December 2025| Version 2 | DOI: 10.17632/9jhm839ck5.2

Contributors:

Samuel X Tan,

,

Description

Supplementary de-identified data regarding automated analysis of tumour-infiltrating lymphocytes in a nested case-case cohort of patients with thin melanoma from Queensland, Australia

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QIMR Berghofer Medical Research Institute
QLD, Herston
Cancer Council Queensland
QLD, Fortitude Valley
Translational Research Institute
QLD, South Brisbane
Yale University
CT, New Haven
Goteborgs universitet Sahlgrenska Akademin
Goteborg
Princess Alexandra Hospital
Essex, Harlow
Karolinska Institutet Cancer Center Karolinska
Stockholm
University of Queensland
QLD, Brisbane

Funders

Cancer Council Queensland
Queensland, Australia
Grant ID: 1125237

Automated scoring of tumour infiltrating lymphocytes informs risk of death from thin melanoma: a nested case-case study [Supplementary Tables]

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