Whole slide pathology images from excision specimens of primary cutaneous melanoma collected at the Departments of Pathology in the Region Västra Götaland, Sweden. The dataset contains 426 WSIs representing 426 excised primary cutaneous melanomas (249 metastatic and 177 non-metastatic). Additional information describing the histological features as text embeddings and information weather the tumor have metastasized is available as separate Excel files.

Keywords: Pathology, Whole slide imaging, Weakly annotated, Skin cancer, Melanoma, Cutaneous melanoma, Staging, Metastatic prediction, WSI.

Sample images

Sample images with reduced image quality. Please click to preview.

• 
• 
• 

Dataset information

Short name	MelMet
Origin	Clinical
Cite as	Noora Neittaanmäki, Filip Dahlen, Ivan Shjuski, Filmon Yacob, Ida Häggström, and Ilkka Polonen (2026) Melanoma metastatic prediction dataset doi:10.23698/aida/melmet [BibTeX format] @misc{ neittaanmäki_2026_melmet, author = { Noora Neittaanmäki and Filip Dahlen and Ivan Shjuski and Filmon Yacob and Ida Häggström and Ilkka Polonen }, title = { Melanoma metastatic prediction dataset }, year = 2026, publisher = { AIDA }, doi = { 10.23698/aida/melmet }, howpublished = { Available: AIDA Data Hub }, url = { https://datahub.aida.scilifelab.se/10.23698/aida/melmet } }
Field	Pathology
Organ	Skin
Age span	2016-2024
Title	Melanoma metastatic prediction dataset
Author	Noora Neittaanmäki Filip Dahlen Ivan Shjuski Filmon Yacob Ida Häggström Ilkka Polonen
Year	2026
DOI	doi:10.23698/aida/melmet
Status	Completed
Version	1.0.0
Scans	426
Annotations	426
Size	1.45TB
Resolution	x40
Modality	SM
Scanner	NanoZoomer S360 Hamamatsu
Stain	H&E (hematoxylin and eosin)
Phase
References	Dahlén F, Shujski I, Yacob F, Häggström I, Jovanovic J, Dudina O, Pölönen I, Neittaanmäki N. Early detection of metastatic risk in primary cutaneous melanoma using weakly supervised learning. Sci Rep. 2026 Apr 1;16(1):11234. doi: 10.1038/s41598-026-45588-w. PMID: 41922451; PMCID: PMC13046822.
Copyright	Copyright 2025 Sahlgrenska University hospital, University of Gothenburg, Noora Neittaanmäki
Access	Available under the following licenses, described in the License section below. Controlled access Free for use in legal and ethical medical diagnostics research. AIDA BY license Free for use within AIDA with attribution and co-authorship.

Annotation

The WSIs are weakly annotated on a slide level to metastatic (1) or non-metastatic (0). The information is available in the Excel files.

File formats

Histopathological slides are stored as .ndpi (size per slide 1.3-5.5GB).

License

Controlled access

Free for use in legal and ethical medical diagnostics research. Please contact the dataset provider for terms of access.

You are invited to send an access request email from your institutional account.

Clicking the access request email link above should open a draft email message in a new window, to help you provide relevant information for efficient request evaluation. If the above link does not work for you, then please click to view the suggested email text.

To: noora.neittaanmaki@vgregion.se
cc: aida-data@nbis.se
Subject: Requesting access to dataset doi:10.23698/aida/melmet
Hi!

I work at INSTITUTION in COUNTRY, emailing from my institutional account.

I would like to access the dataset doi:10.23698/aida/melmet, for use in ethical and legal medical diagnostics research. Could you please send me a data sharing agreement template?

Our planned use of the data can be summarized as:

BRIEF_DESCRIPTION_OF_PLANNED_ACTIVITIES

Dataset: https://datahub.aida.scilifelab.se/10.23698/aida/melmet

Example agreement template: https://datahub.aida.scilifelab.se/sharing/templates/

Template placeholders:

Research PI ("Recipient Scientist"):
Name: PI_NAME (cc here)
Title: PI_TITLE (ph d or better, in relevant field)

Name of institution: INSTITUTION_NAME
Name of department: DEPARTMENT_NAME
Institution postal address: POSTAL_ADDRESS

Authorized signatory (if other than research PI):
Name: SIGNATORY_NAME (cc here)
Title: SIGNATORY_TITLE

The Research PI has a PhD degree or better in a relevant field, and their institutional email address is in CC in this email conversation. The Authorized signatory is the person who signs this type of legal agreement on behalf of this institution, and their institutional email address is in CC in this conversation.

/MY_NAME

Click to create draft email (new window). Use your institutional account.

AIDA BY license

Copyright 2025 Sahlgrenska University hospital, University of Gothenburg, Noora Neittaanmäki

Permission to use, copy, modify, and/or distribute this data within Analytic Imaging Diagnostics Arena (AIDA) for the purpose of medical diagnostics research with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies, and that publications resulting from the use of this data cite the following works:

Noora Neittaanmäki, Filip Dahlen, Ivan Shjuski, Filmon Yacob, Ida Häggström, and Ilkka Polonen (2026) Melanoma metastatic prediction dataset doi:10.23698/aida/melmet

Dahlén F, Shujski I, Yacob F, Häggström I, Jovanovic J, Dudina O, Pölönen I, Neittaanmäki N. Early detection of metastatic risk in primary cutaneous melanoma using weakly supervised learning. Sci Rep. 2026 Apr 1;16(1):11234. doi: 10.1038/s41598-026-45588-w. PMID: 41922451; PMCID: PMC13046822.

THE DATA IS PROVIDED “AS IS” AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS DATA INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR CHARACTERISTICS OF THIS DATA.