{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T03:55:04Z","timestamp":1762055704905,"version":"build-2065373602"},"reference-count":44,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T00:00:00Z","timestamp":1654646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>In the field of medical imaging, the division of an image into meaningful structures using image segmentation is an essential step for pre-processing analysis. Many studies have been carried out to solve the general problem of the evaluation of image segmentation results. One of the main focuses in the computer vision field is based on artificial intelligence algorithms for segmentation and classification, including machine learning and deep learning approaches. The main drawback of supervised segmentation approaches is that a large dataset of ground truth validated by medical experts is required. In this sense, many research groups have developed their segmentation approaches according to their specific needs. However, a generalised application aimed at visualizing, assessing and comparing the results of different methods facilitating the generation of a ground-truth repository is not found in recent literature. In this paper, a new graphical user interface application (MedicalSeg) for the management of medical imaging based on pre-processing and segmentation is presented. The objective is twofold, first to create a test platform for comparing segmentation approaches, and secondly to generate segmented images to create ground truths that can then be used for future purposes as artificial intelligence tools. An experimental demonstration and performance analysis discussion are presented in this paper.<\/jats:p>","DOI":"10.3390\/a15060200","type":"journal-article","created":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T09:59:38Z","timestamp":1654768778000},"page":"200","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["MedicalSeg: A Medical GUI Application for Image Segmentation Management"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4768-5062","authenticated-orcid":false,"given":"Christian","family":"Mata","sequence":"first","affiliation":[{"name":"Pediatric Computational Imaging Research Group, Hospital Sant Joan de D\u00e9u, 08950 Esplugues de Llobregat, Catalonia, Spain"},{"name":"Research Centre for Biomedical Engineering (CREB), Barcelona East School of Engineering, Universitat Polit\u00e8cnica de Catalunya, 08034 Barcelona, Catalonia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5154-1796","authenticated-orcid":false,"given":"Josep","family":"Munuera","sequence":"additional","affiliation":[{"name":"Imatge Diagn\u00f2stica i Terap\u00e8utica, Institut de Recerca Sant Joan de D\u00e9u, 08950 Esplugues de Llobregat, Catalonia, Spain"},{"name":"Servei de Diagn\u00f2stic per la Imatge, Hospital Sant Joan de D\u00e9u, 08950 Esplugues de Llobregat, Catalonia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7970-366X","authenticated-orcid":false,"given":"Alain","family":"Lalande","sequence":"additional","affiliation":[{"name":"ImViA Laboratory, Universit\u00e9 de Bourgogne Franche-Comt\u00e9, 64 Rue de Sully, 21000 Dijon, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9896-8727","authenticated-orcid":false,"given":"Gilberto","family":"Ochoa-Ruiz","sequence":"additional","affiliation":[{"name":"Escuela de Ingenieria y Ciencias, Tecnol\u00f3gico de Monterrey, Guadalajara 45138, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8782-9406","authenticated-orcid":false,"given":"Raul","family":"Benitez","sequence":"additional","affiliation":[{"name":"Pediatric Computational Imaging Research Group, Hospital Sant Joan de D\u00e9u, 08950 Esplugues de Llobregat, Catalonia, Spain"},{"name":"Research Centre for Biomedical Engineering (CREB), Barcelona East School of Engineering, Universitat Polit\u00e8cnica de Catalunya, 08034 Barcelona, Catalonia, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Suri, J.S., Wilson, D.L., and Laxminarayan, S. 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