دسته بندی:
محاسبات کوانتومی - Quantum-Computing
سال انتشار:
2022
عنوان انگلیسی مقاله:
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
ترجمه فارسی عنوان مقاله:
شبکه یادگیری کوانتومی کم عمق کاملاً خود نظارتی الهام گرفته از Qutrit برای تقسیم بندی تومور مغزی
منبع:
ieee - ieee Transactions on Neural Networks and Learning Systems;2022;33;11;10:1109/TNNLS:2021:3077188
نویسنده:
Debanjan Konar; Siddhartha Bhattacharyya; Bijaya K. Panigrahi; Elizabeth C. Behrman
چکیده انگلیسی:
Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due
to forceful termination. Qubits or bilevel quantum bits often
describe quantum neural network models. In this article, a novel
self-supervised shallow learning network model exploiting the
sophisticated three-level qutrit-inspired quantum information system, referred to as quantum fully self-supervised neural network
(QFS-Net), is presented for automated segmentation of brain
magnetic resonance (MR) images. The QFS-Net model comprises
a trinity of a layered structure of qutrits interconnected through
parametric Hadamard gates using an eight-connected secondorder neighborhood-based topology. The nonlinear transformation of the qutrit states allows the underlying quantum neural
network model to encode the quantum states, thereby enabling a
faster self-organized counterpropagation of these states between
the layers without supervision. The suggested QFS-Net model
is tailored and extensively validated on the Cancer Imaging
Archive (TCIA) dataset collected from the Nature repository.
The experimental results are also compared with state-of-theart supervised (U-Net and URes-Net architectures) and the selfsupervised QIS-Net model and its classical counterpart. Results
shed promising segmented outcomes in detecting tumors in terms
of dice similarity and accuracy with minimum human intervention and computational resources. The proposed QFS-Net
is also investigated on natural gray-scale images from the
Berkeley segmentation dataset and yields promising outcomes
in segmentation, thereby demonstrating the robustness of the
QFS-Net model.
Index Terms: tum computing | qutrit | U-Net and URes-Net.
قیمت: رایگان
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