Semi-automatische Rekonstruktion von Neuronen
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The vast amount of data that is generated by today’s imaging technologies renders manual annotation and analysis infeasible. Novel workflows combining human and artificial intelligence are able to process terabyte-sized datasets. A new online neuron reconstruction service for light microscopy data achieves excellent accuracy meeting high scientific standards and reduces the required efforts to trace neurons.
- Çiçek Ö, Abdulkadir A, Lienkamp SS et al. (2016) 3D U-Net: learning dense volumetric segmentation from sparse annotation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, S 424–432Google Scholar