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MedOtter/SegPC-2021

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Use restrictions

The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at 5cc632a
Licence files: No licence file at the top level of the repositoryEvidence: file list at 5cc632a
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

image-segmentation

Citation text from the card

1. A. Gupta, R. Duggal, S. Gehlot, R. Gupta, A. Mangal, L. Kumar, N. Thakkar, D. Satpathy,
   *"GCTI-SN: Geometry-Inspired Chemical and Tissue Invariant Stain Normalization of Microscopic
   Medical Images,"* Medical Image Analysis 65, 2020. doi:10.1016/j.media.2020.101788
2. S. Gehlot, A. Gupta, R. Gupta, *"EDNFC-Net: Convolutional Neural Network with Nested Feature
   Concatenation for Nuclei-Instance Segmentation,"* ICASSP 2020, pp. 1389–1393.
3. A. Gupta, P. Mallick, O. Sharma, R. Gupta, R. Duggal, *"PCSeg: Color model driven probabilistic
   multiphase level set based tool for plasma cell segmentation in multiple myeloma,"* PLoS ONE
   13(12): e0207908, 2018. doi:10.1371/journal.pone.0207908
4. A. Gupta, S. Gehlot, S. Goswami, et al., *"SegPC-2021: A challenge & dataset on segmentation of
   Multiple Myeloma plasma cells from microscopic images,"* Medical Image Analysis 83, 2023.
   doi:10.1016/j.media.2022.102677

Dataset DOI: 10.21227/7np1-2q42 (IEEE DataPort). Source: Kaggle `sbilab/segpc2021dataset`.

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dataset_licence({ "id": "MedOtter/SegPC-2021" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0