Efficient unsupervised learning of biological images with compressed deep features-Reference-Cited by-同舟云学术

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Efficient unsupervised learning of biological images with compressed deep features

Published:2023-09 Issue: Volume:137 Page:104764
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Pastore Vito Paolo,Ciranni Massimiliano,Bianco Simone,Fung Jennifer Carol,Murino Vittorio,Odone Francesca

Funder

National Science Foundation

Faculty of Science and Engineering, University of Manchester

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference75 articles.

1. Deep learning in microscopy image analysis: A survey;Xing;IEEE Trans. Neural Netw. Learn. Syst.,2018

2. Fiji: an open-source platform for biological-image analysis;Schindelin;Nat. Methods,2012

3. Pattern recognition software and techniques for biological image analysis;Shamir;PLOS Comput. Biol.,2010

4. Applications of deep learning and reinforcement learning to biological data;Mahmud;IEEE Trans. Neural Netw. Learn. Syst.,2018

5. Deep learning for cellular image analysis;Moen;Nat. Methods,2019

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