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Segmentation models for Peyer's Patch in 3D LSFM images

appsOther research productkeyboard_double_arrow_right Other ORP type 28 Feb 2022Publisher:Zenodo
Authors: Chen, Jianxu; Sata, Sai Preetham;

doi: 10.5281/zenodo.6401684 , 10.5281/zenodo.6302990 , 10.5281/zenodo.6302989

Segmentation models for Peyer's Patch in 3D LSFM images

Abstract

The segmentation models are used to estimate the volume of T cells and B cells. Specifically the models "unet_model_B_cell_segmentation.ckpt " and "unet_model_modified_4_3_2022_4950_state.ckpt" are used to estimate the volume of B cells and model " unet_model_T_cell_segmentation.ckpt " is used to estimate the volume of T cells. These checkpoints are used with mmv_im2im and peyers_patch. The detailed description on how to use these models are mentioned in these respective repositories. With the help of these models, one can obtain binary maps and use these scripts to estimate the volume of B cells and T cells.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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