CFNet – Conic Convolution and DFT Network for classifying Microscopy Images

CFNet

:: DESCRIPTION

CFNet combines a novel rotation equivariant convolution scheme, called conic convolution, and the DFT to aid networks in learning rotation-invariant tasks. This network has been especially designed to improve performance of CNNs on automated computational tasks related to microscopy image analysis.

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::DEVELOPER

Ma Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Python

:: DOWNLOAD

CFNet

:: MORE INFORMATION

Citation

Bioinformatics. 2019 Jul 15;35(14):i530-i537. doi: 10.1093/bioinformatics/btz353.
Rotation equivariant and invariant neural networks for microscopy image analysis.
Chidester B, Zhou T, Do MN, Ma J.

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