Recognition of Pneumonia Image Based on Improved Quantum Neural Network

Yang, Dong; Wu, Mingqiu; Zhang, Jinlei

doi:10.1109/access.2020.3044697

Cited by 12 publications

(9 citation statements)

References 29 publications

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“…e energy of the image is mainly concentrated in the low and middle frequencies of the amplitude spectrum, while the edges and noise of the image correspond to the high frequency part. e function of the low-pass filter is to remove these high-frequency components through the filter, maintain low-frequency components, and smooth the image information [25]. e low-pass filter is as follows:…”

Section: Smoothing Filter Enhancementmentioning

confidence: 99%

Optimization of the Index System of the Sports Social Organization Development Ability Relying on Image Optimization, Recognition, and Simulation

Sun

2022

Mathematical Problems in Engineering

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Sports social organizations refer to nonprofit, nongovernmental, and group organizations that achieve specific service goals and common aspirations and spontaneously form various sports and fitness activities in accordance with the rules. This article aims to study how to optimize the index system of the capacity developments by relying on image optimization and recognition simulation. This article puts forward the relevant theoretical knowledge of image optimization and recognition and capacity developments and proposes two algorithms based on image optimization and recognition. In 2019, the percentage of growth of sports social organizations rose from 6.7% to the final 27%; in 2020, the growth rate of sports social organizations is getting higher and higher, from 9% at the beginning to 34% at the end. It can be seen that people’s love for sports activities is getting higher and higher, and the state is paying more and more attention to sports social organizations. The factors that affect the development ability of sports social organizations include the quality, education, and management capabilities of the members of the organization, and the country and the government should also take corresponding measures. The improvement of the development ability of sports social organizations is of great significance to the development of sports social organizations.

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Section: Smoothing Filter Enhancementmentioning

confidence: 99%

Optimization of the Index System of the Sports Social Organization Development Ability Relying on Image Optimization, Recognition, and Simulation

Sun

2022

Mathematical Problems in Engineering

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“…Successful object segmentation proposed in [2], [1]. Other research shows that quantum neural networks can be effective in the recognition of pneumonia [20]. The classification of ants and bees introduced in [13] indicates that the use of a transfer learning technique can result in the creation of an efficient system for differentiating between two types of insects.…”

Section: Previous Workmentioning

confidence: 99%

“…object segmentation [2], [1], pneumonia recognition [20], classification of ants and bees [13], classification of medical images of chest radiography and retinal color of the fundus [14], and generative networks [11], [4].…”

Section: Introductionmentioning

confidence: 99%

Traffic Sign Classification Using Deep and Quantum Neural Networks

Kuros¹,

Kryjak²

2022

Preprint

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<p>Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification system implemented using a hybrid quantum-classical convolutional neural network. Experiments on the German Traffic Sign Recognition Benchmark dataset indicate that currently QNN do not outperform classical DCNN (Deep Convolutuional Neural Networks), yet still provide an accuracy of over 90% and are a definitely promising solution for advanced computer vision.</p>

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“…It segments the pixels of similar types and produces a bounded nodule area as input to the target model. Generally, segmentation is meant to increase accuracy, but in the recent past [1,2,4,18,19] authors have given superior accuracy without the need for segmentation.…”

Section: G Gdcnnmentioning

confidence: 99%

“…It takes input as CT, CXR images, and tries to discern a nodule. It also undergoes three stages (1). It classifies the kind of disease from presumed types i.e., it pindowns TB, Pneumonia images under their respective classes.…”

Section: Introductionmentioning

confidence: 99%

Systematic Study on Diagnosis of Lung Disorders using Machine Learning and Deep Learning Algorithms

Sri

Pushpa

2021

2021 Seventh International Conference on Bio Signals, Images, and Instrumentation (ICBSII)

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Presently, lung infection is severe to humans that leads to death if left untreated, and Tracking down a disease on the dot is a way we get out of a hock. Recurrently, the eleventhhour tracking of bugs or incertitude in prognosis margins to voluminously hefty blow-offs. Deep learning branches out a scheme to cut and run of it. Deep learning models work on medical images to detect the type of lung disease. The fashioning of a gadget aids the medical technicians to put a finger on the type and also sub-type of the syndrome without chaos by postulating the prototype as input to it, to enforce the primitive and definite therapy. Grail is to define a common system that categorizes all possible lung diseases like cancer, TB, Pneumonia, and COVID from CT or CXR images.

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Recognition of Pneumonia Image Based on Improved Quantum Neural Network

Cited by 12 publications

References 29 publications

Optimization of the Index System of the Sports Social Organization Development Ability Relying on Image Optimization, Recognition, and Simulation

Optimization of the Index System of the Sports Social Organization Development Ability Relying on Image Optimization, Recognition, and Simulation

Traffic Sign Classification Using Deep and Quantum Neural Networks

Systematic Study on Diagnosis of Lung Disorders using Machine Learning and Deep Learning Algorithms

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