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Found 3 papers, 1 papers with code
DLSIA: Deep Learning for Scientific Image Analysis
We introduce DLSIA (Deep Learning for Scientific Image Analysis), a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains with a range of customizable convolutional neural network (CNN) architectures for a wide variety of tasks in image analysis to be used in downstream data processing, or for experiment-in-the-loop computing scenarios.
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data problems.
Deep learning-based identification of sub-nuclear structures in FIB-SEM images
Lastly, we highlight specific aspects of the model that can be optimized for its broad application to other volumetric imaging data as well as in situ cryo-electron tomography.
