A gated convolutional neural network for classification of breast lesions in ultrasound images

Feizi, A.

doi:10.1007/s00500-022-07024-9

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…Gradually increase the intensity of training and teaching competitions and let the athletes gain reasonable progress. Extensive evaluation and revision of the operation process are required to ensure the best preparation for injury prevention and competition excellence [ 18 ]. As coaches and team doctors, we must understand how to minimize sports injuries, which is the embodiment of the need to learn more relevant knowledge and practice, so as to help athletes grow up healthily.…”

Section: Experiments and Analysismentioning

confidence: 99%

Effect of Rehabilitation Physical Training on Basketball Injury under Ultrasound Examination

Wenjie

2022

Scanning

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In order to solve the problem of observing the effect of rehabilitation physical training on basketball player injury, a kind of observation study on the effect of rehabilitation physical training on basketball player injury based on memory ultrasound examination was proposed. This study makes a comprehensive analysis of physical fitness training factors such as physical fitness test plan, training arrangement, training method, training monitoring, and effect evaluation. Through the experiment, it is found that there are still gaps in physical training, diagnostic standards, training plans and requirements, load monitoring, standardization of operation, nutrition, and recovery in the training organization. There are only 23.81% of full-time physical coaches and 25.40% of professional team doctors at all levels of sports teams. There were only 23.81% of full-time physical fitness coaches and 25.40% of professional team doctors in all levels of sports teams. Basketball players in the basketball injury survey had 67 sports injuries throughout the year, with a rate of 3.35 injuries per person and 2.48 injuries per 1000 hours. The location of chronic injuries is usually the lower back, knee joint, and ankle. The main injuries are due to the physical component, with injuries occurring most frequently throughout the training season in July, August, and September. Experiments show that good and professional physical training can reduce the risk of injury to a greater extent than strengthening the specific skills of athletes.

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Section: Experiments and Analysismentioning

confidence: 99%

Effect of Rehabilitation Physical Training on Basketball Injury under Ultrasound Examination

Wenjie

2022

Scanning

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“…is should be noted that the BP network has some defects, for instance, easy to fall into the local minima, very difficult to determine the network structure, and more importantly slow convergence speed. In the actual accounting confirmation process, many repetitions are often required to obtain satisfactory classification results [27].…”

Section: E Bp Ann Modelmentioning

confidence: 99%

Application Analysis of Artificial Intelligence Algorithm in Accounting Field under the Background of Innovation Economy

Chen

2022

Mobile Information Systems

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At present, economic business activities occur to the accounting element confirmation link of the accounting information system (AIS), which still occupies a large amount of manpower and material resources of the enterprise to generate information. This has been restricting the development of modern AIS. Based on this, first, this paper studies the influence of the knowledge economy on accounting innovation and in the innovation economy. The process of confirmation for accounting elements in economic business, under the traditional AIS, is analyzed. Then, the model of the accounting element confirmation, i.e., BPNN, is constructed by combining the backpropagation (BP) neural network (NN) theory with the artificial intelligence (AI) algorithm. Finally, we simulate the confirmation process of accounting elements based on the economic business data of specific online stores. The experimental outcomes illustrate that under the proposed BPNN model, the output value of the accounting entry is also increasing and has been in the interval [0, 0.14] with the continuous increase in the input value of economic business activities. Moreover, the overall simulation error of economic business activity data does not exceed 0.3% in the simulation test of the proposed accounting business data confirmation model based on the BPNN algorithm. The empirical outcomes indicate that the model has high accuracy and reliability. The purpose is to realize the identification of business events by machines and complete the automatic confirmation of accounting elements in the back-end economic business of online stores. This paper provides new ideas for realizing the overall intelligence of the AIS.

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“…Once the feature map is processed, the pooling layer reduces the amount of information contained in order to eliminate redundant information; finally, the output of the pooling layer goes to the fully connected layer to be classified. In this sense, several works [ 143 , 144 , 145 , 146 , 147 , 148 ], have been employed CNN to detect benign and malignant tissues in either mammography or MRI images. They note that the depth of the network, i.e., the number of layers, the fine-tuning of some of the kernel or pooling layers, as well as the number of images, affect the classifier performance.…”

Section: Image Processing and Classification Strategiesmentioning

confidence: 99%

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

Basurto-Hurtado

Cruz-Albarran

Toledano‐Ayala

et al. 2022

Cancers

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Breast cancer is one the main death causes for women worldwide, as 16% of the diagnosed malignant lesions worldwide are its consequence. In this sense, it is of paramount importance to diagnose these lesions in the earliest stage possible, in order to have the highest chances of survival. While there are several works that present selected topics in this area, none of them present a complete panorama, that is, from the image generation to its interpretation. This work presents a comprehensive state-of-the-art review of the image generation and processing techniques to detect Breast Cancer, where potential candidates for the image generation and processing are presented and discussed. Novel methodologies should consider the adroit integration of artificial intelligence-concepts and the categorical data to generate modern alternatives that can have the accuracy, precision and reliability expected to mitigate the misclassifications.

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A gated convolutional neural network for classification of breast lesions in ultrasound images

Cited by 5 publications

References 30 publications

Effect of Rehabilitation Physical Training on Basketball Injury under Ultrasound Examination

Effect of Rehabilitation Physical Training on Basketball Injury under Ultrasound Examination

Application Analysis of Artificial Intelligence Algorithm in Accounting Field under the Background of Innovation Economy

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

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