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1. AU2021102880 - A NOVEL SYSTEM FOR COVID-19 PREDICTION IN CHEST RADIOGRAPHY IMAGES USING HYBRID QUANTUM MASK R-CNN MODEL

Office
Australia
Application Number 2021102880
Application Date 27.05.2021
Publication Number 2021102880
Publication Date 17.06.2021
Publication Kind A4
IPC
G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
A61B 6/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
G06N 3/045
G06N 10/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
10Quantum computers, i.e. computer systems based on quantum-mechanical phenomena
CPC
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
A61B 6/5211
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
52Devices using data or image processing specially adapted for radiation diagnosis
5211involving processing of medical diagnostic data
G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
08Detecting, measuring or recording devices for evaluating the respiratory organs
A61B 6/50
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
50Clinical applications
A61B 5/7267
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7235Details of waveform analysis
7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
7267involving training the classification device
Applicants Meka, James Stephen PROF
Modem, Amarendhar Reddy MR
P.V.G.D., Prasad Reddy PROF
Padala, Pushkal MR
Inventors Meka, James Stephen
Modem, Amarendhar Reddy
P. V. G. D., Prasad Reddy
Padala, Pushkal
Agents Patentable
Title
(EN) A NOVEL SYSTEM FOR COVID-19 PREDICTION IN CHEST RADIOGRAPHY IMAGES USING HYBRID QUANTUM MASK R-CNN MODEL
Abstract
(EN) Developing a precise model to anticipate COVID-19 via Chest Radiography Images is required to help in preliminary diagnosis. In Pattern Recognition and Image Classification, Convolutional Neural Networks is one of the most widely used and efficient deep learning models. The Mask R-CNN (Regional-Convolutional Neural Networks), a segment-based image classification algorithm, achieves superior results in detecting a variety of diseases, including heart disease, dental disease, brain tumor, and pneumonia disease. Entanglement in quantum computing enables qubits that behave randomly to be perfectly correlated with one another. Specific complex problems can be solved more efficiently on quantum computers by utilizing quantum algorithms. The present invention disclosed herein is a Novel System for Covid-19 Prediction in Chest Radiography Images using Hybrid Quantum Mask R-CNN Model comprising of Random Quantum Circuits, Quantum Convolutional Neural Networks, and Modified Mask R CNN