DL4MicEverywhere
Posted on 29 August 2024
DL4MicEverywhere is framework, inspired by ZeroCostDL4Mic, that allows researchers to train and run deep learning models in a reproducible, user-friendly manner on local networks. The framework uses containerisation to ensure reproducibility. As with ZeroCost, DL4MicEverywhere using Jupyter notebooks to allow users to build deep learning-enhanced bioimage analysis pipelines without interacting with code. DL4MicEverywhere is integrated with the BioImage Model Zoo.
Read about the story behind DL4MicEverywhere on FocalPlane: https://focalplane.biologists.com/2024/07/29/dl4miceverywhere-overcoming-reproducibility-challenges-in-deep-learning-microscopy-imaging/
Resource Created By: 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
Type of tool: Image analysis software
Is this tool open source?: Yes
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