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Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study

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Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study

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dc.contributor.author Moncho-Santonja, María es_ES
dc.contributor.author Aparisi-Navarro, Silvia es_ES
dc.contributor.author Defez Garcia, Beatriz es_ES
dc.contributor.author Peris Fajarnes, Guillermo es_ES
dc.date.accessioned 2024-06-07T18:14:04Z
dc.date.available 2024-06-07T18:14:04Z
dc.date.issued 2023-05-17 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204820
dc.description.abstract [EN] Abstract: 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. Keywords: bioinformatics; acne; image segmentation; image processing; es_ES
dc.description.sponsorship Silvia Aparisi-Navarro was supported by Universitat Politècnica de València [PAID-01- 2020] and María Moncho-Santonja was supported by Conselleria d Educació, Investigació, Cultura I Esport [ACIF-20]. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Bioinformatics es_ES
dc.subject Acne es_ES
dc.subject Image segmentation es_ES
dc.subject Image processing es_ES
dc.subject Dermatology es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app13106157 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-01-2020/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACIF%2F2020%2F286//Subvenciones para la contratación de personal investigador de carácter predoctoral ACIF/2018, ACIF/2019 y ACIF/2020./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación en Tecnologías Gráficas - Centre d'Investigació en Tecnologies Gràfiques es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Moncho-Santonja, M.; Aparisi-Navarro, S.; Defez Garcia, B.; Peris Fajarnes, G. (2023). Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study. Applied Sciences. 13(10). https://doi.org/10.3390/app13106157 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app13106157 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 10 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\493130 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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