Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data
Skin diseases have a significant impact on the socio-economic landscape as they affect not only the medical health of the patient but also their psychological well-being. Moreover, as the majority of individuals suffering from skin diseases are over the age of 60, these individuals have to also cope...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000381 |
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| author | Anum Abdul Salam Muhammad Zeeshan Asaf Muhammad Usman Akram Noah Musolff Samavia Khan Bassem Rafiq Babar Rao |
| author_facet | Anum Abdul Salam Muhammad Zeeshan Asaf Muhammad Usman Akram Noah Musolff Samavia Khan Bassem Rafiq Babar Rao |
| author_sort | Anum Abdul Salam |
| collection | DOAJ |
| description | Skin diseases have a significant impact on the socio-economic landscape as they affect not only the medical health of the patient but also their psychological well-being. Moreover, as the majority of individuals suffering from skin diseases are over the age of 60, these individuals have to also cope with the stress associated to age-related conditions such as diabetes, high blood pressure, and cardiac diseases. To alleviate this burden, it is essential to identify skin diseases at an early stage, which can help prevent disease progression. With the advent of Artificial Intelligence (AI) and technology, the use of automated disease diagnosis systems has increased significantly. These systems assist medical specialists by reducing diagnosis time and accelerating the entire diagnostic process. However, deep learning models require substantial amounts of data for training. In histopathology, brightfield microscopy is the most widely used imaging modality for identifying diseases through the examination of underlying structures. We are publishing a dataset comprising 38 whole-slide Hematoxylin and Eosin-stained images along with their masks. These images were grouped into 12 classes including tissues, skin cancer, and skin layers. We have also validated the dataset using SegFormer, which resulted in an overall accuracy of 0.875. |
| format | Article |
| id | doaj-art-d5fe52a52b5042e78b7a7946e692f4f3 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-d5fe52a52b5042e78b7a7946e692f4f32025-01-26T05:04:04ZengElsevierData in Brief2352-34092025-04-0159111306Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley DataAnum Abdul Salam0Muhammad Zeeshan Asaf1Muhammad Usman Akram2Noah Musolff3Samavia Khan4Bassem Rafiq5Babar Rao6Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, 44000, Pakistan; Corresponding author.Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, 44000, PakistanDepartment of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, 44000, PakistanRao Dermatology, 900 Broadway, New York, NY 10003, USACenter for dermatology, Rutgers Robert Wood Johnson Medical School, Somerset, NJ 08873, USARao Dermatology, 900 Broadway, New York, NY 10003, USARao Dermatology, 900 Broadway, New York, NY 10003, USASkin diseases have a significant impact on the socio-economic landscape as they affect not only the medical health of the patient but also their psychological well-being. Moreover, as the majority of individuals suffering from skin diseases are over the age of 60, these individuals have to also cope with the stress associated to age-related conditions such as diabetes, high blood pressure, and cardiac diseases. To alleviate this burden, it is essential to identify skin diseases at an early stage, which can help prevent disease progression. With the advent of Artificial Intelligence (AI) and technology, the use of automated disease diagnosis systems has increased significantly. These systems assist medical specialists by reducing diagnosis time and accelerating the entire diagnostic process. However, deep learning models require substantial amounts of data for training. In histopathology, brightfield microscopy is the most widely used imaging modality for identifying diseases through the examination of underlying structures. We are publishing a dataset comprising 38 whole-slide Hematoxylin and Eosin-stained images along with their masks. These images were grouped into 12 classes including tissues, skin cancer, and skin layers. We have also validated the dataset using SegFormer, which resulted in an overall accuracy of 0.875.http://www.sciencedirect.com/science/article/pii/S2352340925000381Whole slide image segmentationSkin layersEpidermisDermisHypodermisSkin tissue analysis |
| spellingShingle | Anum Abdul Salam Muhammad Zeeshan Asaf Muhammad Usman Akram Noah Musolff Samavia Khan Bassem Rafiq Babar Rao Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data Data in Brief Whole slide image segmentation Skin layers Epidermis Dermis Hypodermis Skin tissue analysis |
| title | Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data |
| title_full | Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data |
| title_fullStr | Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data |
| title_full_unstemmed | Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data |
| title_short | Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data |
| title_sort | hematoxylin and eosin stained whole slide image dataset annotated for skin tissue segmentationmendeley data |
| topic | Whole slide image segmentation Skin layers Epidermis Dermis Hypodermis Skin tissue analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000381 |
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