DeepImageJ

Type
Author
Estibaliz Gómez de Mariscal
Requires
Execution Platform
Implementation Type
is compatible with
License/Openness
Description

DeepImageJ is a user-friendly plugin that enables the use of a variety of pre-trained deep learning models in ImageJ and Fiji. The plugin bridges the gap between deep learning and standard life-science applications. DeepImageJ runs image-to-image operations on a standard CPU-based computer and does not require any deep learning expertise.

Training developper constructs and upload trained model, and made them available to users.

Models are available in a repository here.

It is macro recordable. It is advised to use DeepImageJ on a computer with GPU (CPU will likely be 20x slower)

has topic
Entry Curator
Last modified
04/27/2023 - 13:25