Histo-Seg.zip |
2.95GB |
Type: Dataset
Metadata:
Tags:
Metadata:
@article{abdulsalam2024histoseg,
title= {Histo-Seg: H&E Whole Slide Image Segmentation Dataset},
journal= {Mendeley Data},
author= {Abdul Salam, Anum and Asaf, Zeeshan and Akram, Muhammad Usman and Rao, Babar and Khan, Samavia and Sanabria, Bianca},
year= {2024},
url= {https://data.mendeley.com/datasets/vccj8mp2cg/1},
abstract= {The dataset is comprised of 38 chemically stained Whole slide image samples along with their corresponding ground truth annotated by histopathologists for 12 classes indicating skin layers (Epidermis, Reticular dermis, Papillary dermis, Dermis, Keratin), Skin tissues (Inflammation, Hair follicles, Glands), skin cancer (Basal cell carcinoma, Squamous cell carcinoma, Intraepidermal carcinoma) and background (BKG).},
keywords= {Pathology, Microscopy, Skin, Histopathology, Biopsy},
terms= {},
license= {CC BY 4.0},
superseded= {}
}
Citation:
Abdul Salam, A., Asaf, Z., Akram, M. U., Rao, B., Khan, S., & Sanabria, B.. (2024). Histo-Seg: H&E Whole Slide Image Segmentation Dataset [Data set]. Academic Torrents. https://academictorrents.com/details/887a4582525607c24f975666b22118030af533ed
Histo-Seg.zip