Whole slide pathology images from excision specimens of cutaneous basal cell carcinomas (BCC) collected at the Department of Pathology at Sahlgrenska University Hospital, Sweden. The data set contains 1832 WSIs from 479 BCCs annotated on a slide level.
Keywords: Pathology, Whole slide imaging, Weakly annotated, Basal cell carcinoma, Skin cancer.
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|Cite as||Noora Neittaanmäki, Kajsa Villiamsson, Jan Siarov, Filmon Yacob, Juulia T Suvilehto, Lisa Sjöblom, and Magnus Kjellberg (2023) Basal cell carcinoma classification doi:10.23698/aida/bccc|
|Title||Basal cell carcinoma classification|
Juulia T Suvilehto
NanoZoomer S360 Hamamatsu
|Stain||H&E (hematoxylin and eosin)|
|Copyright||Copyright 2023 University of Gothenburg, Noora Neittaanmäki|
Available under the following licenses, described in the License section below.
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The data is annotated on a slide level into four aggressivity tumour subtypes: low aggressive Ia (nodular) and Ib (superficial) and more aggressive subtypes II (medium aggressive) and III (high aggressive). Of these, types Ia and Ib represent low risk and II and III high risk tumors according to WHO classilification of skin tumors (4th Edition 2018).
The dataset consists of two types of images: Histopathological slides are stored as .ndpi (size per slide 1-5.5GB). Annotations are provided as .csv files (one for main data set, one for test set)
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Copyright 2023 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, Kajsa Villiamsson, Jan Siarov, Filmon Yacob, Juulia T Suvilehto, Lisa Sjöblom, and Magnus Kjellberg (2023) Basal cell carcinoma classification doi:10.23698/aida/bccc
Yacob, F., Siarov, J., Villiamsson, K. et al. Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images. Sci Rep 13, 7555 (2023). https://doi.org/10.1038/s41598-023-33863-z
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.