CSBDeep
Posted on 4 December 2019
An open-source, deep-learning toolkit for microscopists focused on image restoration and segmentation. The website includes examples of the image restoration and segmentation capabilities and outlines the training data requirements. The tools available within CSBDeep include CARE, DenoiSeg, Noise2Void and StarDist.
Type of tool: Image analysis software
Resource Created By: Weigert M et al
Is this tool open source?: Yes
You may also be interested in
Mastodon
Tracking and track-editing framework
DL4MicEverywhere
Framework for deep learning-enhanced bioimage analysis
Iván Hidalgo-Cenalmor, Joanna W. Pylvänäinen, Mariana G. Ferreira, Craig T. Russell, Alon Saguy, Ignacio Arganda-Carreras, Yoav Shechtman, AI4Life Horizon Europe Program Consortium, Guillaume Jacquemet, Ricardo Henriques & Estibaliz Gómez-de-Mariscal
OME training resources
Data management training resources from the OME team
OME
