Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis

Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis

In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial. Recognizing the essential need for improved diagnostic precision, particularly for optimizing diagnosis time by swiftly handling easy-to-solve cases and allowing the expert time to focus on more comple...

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Bibliographic Details
Main Authors: Luca Lusnig, Asel Sagingalieva, Mikhail Surmach, Tatjana Protasevich, Ovidiu Michiu, Joseph McLoughlin, Christopher Mansell, Graziano de’ Petris, Deborah Bonazza, Fabrizio Zanconati, Alexey Melnikov, Fabio Cavalli
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Diagnostics
Subjects:
medical image classification
hybrid quantum ResNet
quantum machine learning
hybrid quantum neural network
federated learning
computer-aided diagnosis
Online Access:https://www.mdpi.com/2075-4418/14/5/558

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https://www.mdpi.com/2075-4418/14/5/558

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