Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning

Carola Krug; Karl Rohr

doi:10.1007/978-3-031-09037-0_20

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Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning

Carola Krug Karl Rohr

Year: 2022 Lecture notes in computer science Pages: 236-247 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-09037-0_20

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Keywords:

Computer science Artificial intelligence Segmentation Deep learning Unsupervised learning Pattern recognition (psychology) Artificial neural network Supervised learning Image segmentation Machine learning

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Cell Image Analysis Techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning

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