custom_3d_unet
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Deep convolution neural network for semantic segmentation of 🧬3D biological data
Deep learning for pixelwise labeling of 3d biological data
Helices and beta sheets are characterized by cylindrical and planar shapes respectively
Cryo-Em allows us to see these structures at a variety of resolution
At medium resolution we can barely see the structure
After attempting multiple architectures, a custom 3d Unet provided the best results
Results
Simulted
Experimental
Authors
- Devin Haslam - All programing and research