Deep learning for lipid droplet recognition in quantitative phase images
Software
·
OSTI ID:1805278
This library of Python code is used for performing semantic segmentation of images using 6 different machine learning methods. Five of the methods are implemented entirely within the scikit-learn framework. The Convolutional Neural Network (CNN) method requires Keras with a TensorFlow backend and generally uses a different set of scripts in order to perform the complete training and evaluation.
- Short Name / Acronym:
- deep_lipid; 006023WKSTN00
- Version:
- 00
- Programming Language(s):
- Medium: X; OS: Windows/Mac
- Research Organization:
- Univ. of Idaho, Moscow, ID (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Organization:
- Regents of the University of Idaho
- DOE Contract Number:
- SC0019249
- OSTI ID:
- 1805278
- Country of Origin:
- United States
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Deep learning classification of lipid droplets in quantitative phase images
Journal Article
·
Sun Apr 04 20:00:00 EDT 2021
· PLoS ONE
·
OSTI ID:1773959