Software-Based Method for Automated Segmentation and Measurement of Wounds on Photographs Using Mask R-CNN: a Validation Study

Privalov, Maxim; Beisemann, Nils; Barbari, Jan Siad El; Mandelka, Eric; Müller, Michael G.; Syrek, Hannah; Grützner, Paul Alfred; Vetter, Sven

doi:10.1007/s10278-021-00490-x

Cited by 7 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the different stages of software development, software testing can be divided into unit testing, integration testing, confirmation testing, and system testing [2].…”

Section: Introductionmentioning

confidence: 99%

Application of Software Data Analysis Model Based on K-Means Clustering Algorithm

Qiu

2022

Security and Communication Networks

View full text Add to dashboard Cite

In order to improve the anomaly detection ability of portable multidimensional control software test data, a software test data anomaly detection method based on K-means clustering is proposed. The abnormal data distribution structure model of portable multidimensional control software testing is constructed. The fuzzy semantic feature reconstruction method is adopted to identify the fuzzy parameters of portable multidimensional control software and extract the feature quantity of associated information. According to the evolution distribution of associated features, the joint combination feature analysis method is adopted to realize the fuzzy clustering center detection of abnormal data of portable multidimensional control software test, and the fusion of abnormal feature distribution is carried out to complete the joint multidimensional feature detection. The K-means clustering method is used for effective data combination control in portable multidimensional control software to extract and detect abnormal features of test data in portable multidimensional control software. Experimental results show that the accuracy of anomaly detection of software test data by the proposed method is always greater than 0.8. Conclusion. Using this method to detect abnormal data of portable multidimensional control software test has higher accuracy and better detection performance.

show abstract

“…According to the different stages of software development, software testing can be divided into unit testing, integration testing, confirmation testing, and system testing [2].…”

Section: Introductionmentioning

confidence: 99%

Application of Software Data Analysis Model Based on K-Means Clustering Algorithm

Qiu

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…The idea of FCNs also been applied to other segmentation problems in medical image processing such as organs and blood vessels segmentation [23], brain tumor segmentation [24] etc. Idea of Mask R-CNN was applied to application such as segmentation and measurement of wounds [25] and Skin lesion segmentation [26] from images.…”

Section: Image Segmentation Applicationsmentioning

confidence: 99%

Applying Deep Learning for Image Segmentation: A Survey

Khan¹,

Ren²

2022

World Congress on Electrical Engineering and Computer Systems and Science

View full text Add to dashboard Cite

Image segmentation is one of the most important branches of image processing. But it comes with various challenges and problems to be solved. Researchers are always working on improving the accuracy, quality and performance of image segmentation techniques. As in modern days, deep learning being involved in almost all problem solving, it is being used in image segmentation too. In this paper, we discussed few image segmentation techniques developed using deep learning, some implementation of these techniques to applications. And lastly, we addressed some limitations, challenges and research scopes for future.

show abstract

Internet service for wound area measurement using digital planimetry with adaptive calibration and image segmentation with deep convolutional neural networks

Foltynski

Ładyżyński

2023

Biocybernetics and Biomedical Engineering

View full text Add to dashboard Cite

Software-Based Method for Automated Segmentation and Measurement of Wounds on Photographs Using Mask R-CNN: a Validation Study

Cited by 7 publications

References 33 publications

Application of Software Data Analysis Model Based on K-Means Clustering Algorithm

Application of Software Data Analysis Model Based on K-Means Clustering Algorithm

Applying Deep Learning for Image Segmentation: A Survey

Internet service for wound area measurement using digital planimetry with adaptive calibration and image segmentation with deep convolutional neural networks

Contact Info

Product

Resources

About