Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study
Background: Acne vulgaris is the most common dermatological pathology worldwide. The currently used methodologies for the evaluation and monitoring of acne have been analyzed in several studies, highlighting important limitations that can be concretely addressed using image processing methods by per...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/10/6157 |
| _version_ | 1797601180104261632 |
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| author | María Moncho-Santonja Silvia Aparisi-Navarro Beatriz Defez Guillermo Peris-Fajarnés |
| author_facet | María Moncho-Santonja Silvia Aparisi-Navarro Beatriz Defez Guillermo Peris-Fajarnés |
| author_sort | María Moncho-Santonja |
| collection | DOAJ |
| description | Background: Acne vulgaris is the most common dermatological pathology worldwide. The currently used methodologies for the evaluation and monitoring of acne have been analyzed in several studies, highlighting important limitations that can be concretely addressed using image processing methods by performing segmentation on different acne vulgaris image modalities. These techniques reduce the costs of treatment and acne severity grading, since they improve objectivity and are less time-consuming. That is why, in the last decade, several studies that propose segmentation methodologies on acne patients’ images have been published. The aim of this work is to analyze the segmentation methods developed for acne vulgaris images until now, including an analysis of the processing techniques and image modalities used, as well as the results. Results: Following the PRISMA statement and PICO model, 27 studies were included in the systematic review, and subsequently, they were divided into two groups: those that discuss methods based on classical image processing techniques, such as contrast adjustment and conversion of RGB images to other color spaces, and those discussing methods based on machine learning algorithms. Conclusions: Currently, there is no preference between one group of segmentation methods or the other. Moreover, the lack of uniformity in the evaluation of results for each study makes the comparison of methods difficult. The preferred image modality for segmentation is conventional photography, which shows a research gap in the application of segmentation algorithms to other acne vulgaris image modalities that could be useful, such as fluorescence imaging. |
| first_indexed | 2024-03-11T03:58:38Z |
| format | Article |
| id | doaj.art-664f42e8ab284084be0011912275db43 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T03:58:38Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-664f42e8ab284084be0011912275db432023-11-18T00:21:22ZengMDPI AGApplied Sciences2076-34172023-05-011310615710.3390/app13106157Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical StudyMaría Moncho-Santonja0Silvia Aparisi-Navarro1Beatriz Defez2Guillermo Peris-Fajarnés3Research Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera, s/n, 46022 València, SpainBackground: Acne vulgaris is the most common dermatological pathology worldwide. The currently used methodologies for the evaluation and monitoring of acne have been analyzed in several studies, highlighting important limitations that can be concretely addressed using image processing methods by performing segmentation on different acne vulgaris image modalities. These techniques reduce the costs of treatment and acne severity grading, since they improve objectivity and are less time-consuming. That is why, in the last decade, several studies that propose segmentation methodologies on acne patients’ images have been published. The aim of this work is to analyze the segmentation methods developed for acne vulgaris images until now, including an analysis of the processing techniques and image modalities used, as well as the results. Results: Following the PRISMA statement and PICO model, 27 studies were included in the systematic review, and subsequently, they were divided into two groups: those that discuss methods based on classical image processing techniques, such as contrast adjustment and conversion of RGB images to other color spaces, and those discussing methods based on machine learning algorithms. Conclusions: Currently, there is no preference between one group of segmentation methods or the other. Moreover, the lack of uniformity in the evaluation of results for each study makes the comparison of methods difficult. The preferred image modality for segmentation is conventional photography, which shows a research gap in the application of segmentation algorithms to other acne vulgaris image modalities that could be useful, such as fluorescence imaging.https://www.mdpi.com/2076-3417/13/10/6157bioinformaticsacneimage segmentationimage processingdermatology |
| spellingShingle | María Moncho-Santonja Silvia Aparisi-Navarro Beatriz Defez Guillermo Peris-Fajarnés Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study Applied Sciences bioinformatics acne image segmentation image processing dermatology |
| title | Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study |
| title_full | Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study |
| title_fullStr | Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study |
| title_full_unstemmed | Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study |
| title_short | Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study |
| title_sort | segmentation of acne vulgaris images techniques a comparative and technical study |
| topic | bioinformatics acne image segmentation image processing dermatology |
| url | https://www.mdpi.com/2076-3417/13/10/6157 |
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