QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network

<div>Display of training operations to test the segmentation of the image and identify the masses. From left to right: the overall result of noise reduction as input in QAIS-DSNN and QAIS-DSNN approach segmentation, finding necrosis, and finding edema (part completely black) and nucleus (the almost white part inside the edema).</div>

BioMed Research International

fig8

Figure 8

Figure 8: QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network 