A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images

Debanjan Konar, Siddhartha Bhattacharyya, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi

Abstract: Highlights•A fully self-supervised novel Quantum-Inspired Self-Supervised Network (QISNet) is proposed.•The proposed QIS-Net architecture is composed of three layers of quantum neuron (input, intermediate and output) expressed as qubits.•The intermediate and output layers of the QIS-Net architecture are inter-linked through bi-directional propagation of quantum states.•Quantum observation allows to obtain the true output once the superimposed quantum states interact with the external environment.