Use deep learning tools to accurately identify the organelles where proteins are located in human protein fluorescence micrographs

1. The trained model was executed on the Atlas 200 DK developer kit, and use Atlas 200 DK

2. The model analyses unlabelled protein fluorescence and predicts the location of sub-cells with pictures

3. Protein subcellular localisation prediction targets the microscopic fluorescence images of proteins in cancer tissues and other tissues to identify the localisation of proteins; to find location markers related to cancer