SRH dataset

doi:doi:10.57702/c1ngiq5v

SRH dataset

Whole slide imaging is fundamental to biomed-ical microscopy and computational pathology. However, whole slide images (WSIs) present a complex computer vision challenge due to their gigapixel size, diverse histopathologic features, spatial heterogeneity, and limited/absent data annotations.

BibTex:

@dataset{Cheng_Jiang_and_Alexander_Gedeon_and_Yiwei_Lyu_and_Eric_Landgraf_and_Yufeng_Zhang_and_Xinhai_Hou_and_Akhil_Kondepudi_and_Asadur_Chowdury_and_Honglak_Lee_and_Todd_Hollon_2024,
    abstract = {Whole slide imaging is fundamental to biomed-ical microscopy and computational pathology. However, whole slide images (WSIs) present a complex computer vision challenge due to their gigapixel size, diverse histopathologic features, spatial heterogeneity, and limited/absent data annotations.},
    author = {Cheng Jiang and Alexander Gedeon and Yiwei Lyu and Eric Landgraf and Yufeng Zhang and Xinhai Hou and Akhil Kondepudi and Asadur Chowdury and Honglak Lee and Todd Hollon},
    doi = {10.57702/c1ngiq5v},
    institution = {No Organization},
    keyword = {'3D Super-Resolution', 'Biomedical Imaging', 'SRH', 'SRH dataset', 'brain tumor', 'whole slide imaging'},
    month = {dec},
    publisher = {TIB},
    title = {SRH dataset},
    url = {https://service.tib.eu/ldmservice/dataset/srh-dataset},
    year = {2024}
}