DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images

doi:doi:10.57702/87fb6wr0

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images

Automatic segmentation of medical images is a key step for diagnostic and interventional tasks. However, achieving this requires large amounts of annotated volumes, which can be tedious and time-consuming task for expert annotators.

BibTex:

@dataset{Andres_Diaz-Pinto_and_Pritesh_Mehta_and_Sachidanand_Alle_and_Muhammad_Asad_and_Richard_Brown_and_Vishwesh_Nath_and_Alvin_Ihsani_and_Michela_Antonelli_and_Daniel_Palkovics_and_Csaba_Pinter_and_Ron_Alkalay_and_Steve_Pieper_and_Holger_R_Roth_and_Daguang_Xu_and_Prerna_Dogra_and_Tom_Vercauteren_and_Andrew_Feng_and_Abood_Quraini_and_Sebastien_Ourselin_and_M_Jorge_Cardoso_2024,
    abstract = {Automatic segmentation of medical images is a key step for diagnostic and interventional tasks. However, achieving this requires large amounts of annotated volumes, which can be tedious and time-consuming task for expert annotators.},
    author = {Andres Diaz-Pinto and Pritesh Mehta and Sachidanand Alle and Muhammad Asad and Richard Brown and Vishwesh Nath and Alvin Ihsani and Michela Antonelli and Daniel Palkovics and Csaba Pinter and Ron Alkalay and Steve Pieper and Holger R. Roth and Daguang Xu and Prerna Dogra and Tom Vercauteren and Andrew Feng and Abood Quraini and Sebastien Ourselin and M. Jorge Cardoso},
    doi = {10.57702/87fb6wr0},
    institution = {No Organization},
    keyword = {'3D Medical Images', 'Deep Learning', 'Interactive Segmentation'},
    month = {dec},
    publisher = {TIB},
    title = {DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images},
    url = {https://service.tib.eu/ldmservice/dataset/deepedit--deep-editable-learning-for-interactive-segmentation-of-3d-medical-images},
    year = {2024}
}