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DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation

Fig 1

Schematic presentation of DeepMIB deep learning workflow.

(A) A scheme of a typical deep learning workflow. (B) Stepwise workflow of DeepMIB user interface for training or/and prediction. (C) Comparison of different padding types and overlapping strategies during prediction. Description for used images is given in Fig 1D. Arrowheads denote artefacts that may appear during prediction of datasets trained with the “same” padding parameter. (D) A snapshot of the GUI of the Activations explorer tool used for visualization of network features. Scale bar, 5 μm.

Fig 1