The dataset consists of 99 H&E-stained whole slide skin images (WSI) - 49 abnormal and 50 normal cases. All significant abnormal findings identified are outlined and categorized into 13 types such as actinic keratosis, basal cell carcinoma and dermatofibroma. Other tissue components, such as epidermis, adnexal structures, as well as the surgical margin are delineated to create a complete histological map. In total, 16741 separate annotations have been made to segment the different tissue structures and link them to ontological information.
Keywords: Pathology, Skin, Cancer, Whole slide imaging, Annotated.
Sample images with reduced image quality. Please click to preview.
|Cite as||Karin Lindman, Jerónimo F. Rose, Martin Lindvall, and Caroline Bivik Stadler (2019) Skin data from the Visual Sweden project DROID doi:10.23698/aida/drsk|
|Age span||20-93 years|
|Title||Skin data from the Visual Sweden project DROID|
Jerónimo F. Rose
Caroline Bivik Stadler
|Resolution||20X single plane|
Scanscope AT (Aperio, US)
NanoZoomer XR (Hamamatsu, Japan)
NanoZoomer XRL (Hamamatsu, Japan)
|Stain||H&E (hematoxylin and eosin)|
|Copyright||Copyright 2019 Linköping University, Claes Lundström|
Available under the following licenses, described in the License section below.
AIDA BY license
One physician was responsible for the manual annotations controlled by a second pathologist. Accurate annotations were made over the whole tissues. 16741 separate annotations were made.
The following findings were annotated in the abnormal cases: actinic keratosis, basal cell carcinoma, dermatofibroma, dysplastic nevus, intradermal nevus, keratoachantoma, lentigo malignant melanoma, malignant melanoma, malignant melanoma in situ, scar, seborrheic keratosis, squamous cell carcinoma and squamous cell carcinoma in situ. Other areas annotated: abnormal, acanthosis, artifacts, dermis, epidermis, fibrosis, fibrin body, granuloma, inflammation, inflammatory edema, normal, perichondrium, reactive cellular changes, skin appendage structure, surgical margins, structure of cartilage of auditory canal, subcutaneous fatty tissue, subcutaneous tissue, surgical margins and from which body part the skin was excised.
In the normal skin cases were following structures chosen to be annotated: artifact, dermis, epidermis, normal skin, perichondrium, skin and subcutaneous structure, skin appendage structure, skin structure, structure of cartilage of auditory canal, subcutaneous fatty tissue, subcutaneous tissue and surgical margins.
Pixel position scaling
Coordinates given are relative to the image width. To get the correct pixel position, X coordinates (and Y coordinates!) should therefore be multiplied with the image width.
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.
Subject: Requesting access to dataset doi:10.23698/aida/drsk
I work at INSTITUTION in COUNTRY, emailing from my institutional account.
I would like to access the dataset doi:10.23698/aida/drsk, 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:
Example agreement template: https://datahub.aida.scilifelab.se/sharing/templates/
Name of research PI ("Recipient Scientist"): PI_NAME (cc here)
Title of research PI: PI_TITLE (ph d or better, in relevant field)
Name of institution: INSTITUTION_NAME
Name of department: DEPARTMENT_NAME
Institution postal address: POSTAL_ADDRESS
Name of authorized signatory: SIGNATORY_NAME (cc here)
Title of authorized signatory: SIGNATORY_TITLE
Also, I would like to ALTERNATIVELY_WOULD_NOT_LIKE_TO be included in the public record of data sharing facilitated by AIDA:
which is used to facilitate scientific discussion, and to show what good AIDA has been to the global research community.
(If "not", then only institution/department information will be included.)
Click to create draft email (new window). Use your institutional account.
AIDA BY license
Copyright 2019 Linköping University, Claes Lundström
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:
Karin Lindman, Jerónimo F. Rose, Martin Lindvall, and Caroline Bivik Stadler (2019) Skin data from the Visual Sweden project DROID doi:10.23698/aida/drsk.
Stadler, C.B., Lindvall, M., Lundström, C. et al. Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. J Digit Imaging (2020). https://doi.org/10.1007/s10278-020-00384-4
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.