Fig. 3: RAH configured for reconstruction and feature extraction of medical images. | Nature Communications

Fig. 3: RAH configured for reconstruction and feature extraction of medical images.

From: 2D MoS2-based reconfigurable analog hardware

Fig. 3: RAH configured for reconstruction and feature extraction of medical images.The alternative text for this image may have been generated using AI.

a Image reconstruction by sparse coding and feature extraction by convolution realized with the ADC/DAC function and nonlinear convolution function of RAH, respectively. b Process of sparse coding. c Output data of forward and backward DA/AD conversion for the first iteration in the experiments. d Sparse coding coefficients for all patches in the original image. e Image sharpening (Function 3) in RAH, in which the synapse, heterosynapse, and soma modules were configured as subfunction j3 (convolutional kernel), subfunction p1 (sustained on-state), and subfunction k1 (voltage follower), respectively. f Electronic performance to evaluate subfunctions j3 and k1. g Output current of a 6 × 6 patch from the convolution operation. The 2D grayscale image of the 6 × 6 patch is given in the inset.

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