{"id":1438,"date":"2022-09-01T23:21:36","date_gmt":"2022-09-01T23:21:36","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1438"},"modified":"2022-09-01T23:22:08","modified_gmt":"2022-09-01T23:22:08","slug":"vol19-no1-art4","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/vol19-no1-art4\/","title":{"rendered":"Detection and Segmentation of Lungs Regions Using CNN Combined with Levelset"},"content":{"rendered":"<p>Pedro Cavalcante Sousa J\u00fanior <a href=\"https:\/\/orcid.org\/0000-0002-1010-9654\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Lu\u00eds Fabr\u00edcio de Freitas Souza <a href=\"https:\/\/orcid.org\/0000-0002-3156-1359\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Jos\u00e9 Jerovane da Costa Nascimento <a href=\"https:\/\/orcid.org\/0000-0002-7361-4316\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Lucas Oliveira dos Santos <a href=\"https:\/\/orcid.org\/0000-0002-9388-8146\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Adriell Gomes Marques <a href=\"https:\/\/orcid.org\/0000-0001-6274-1961\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Francisco Eduardo Sales Ribeiro <a href=\"https:\/\/orcid.org\/0000-0003-3248-5092\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, e Pedro Pedrosa Rebou\u00e7as Filho <a href=\"https:\/\/orcid.org\/0000-0002-1878-5489\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a><\/p>\n<p><strong>Abstract:<\/strong> Lung diseases are among the leaders in ranking diseases that kill the most globally. A quick and accurate diagnosis made by a specialist doctor facilitates the treatment of the disease and can save lives. In recent decades, an area that has gained strength in computing has been the aid to medical diagnosis. Several techniques were created to help health professionals in their work using Computer Vision Techniques and Machine Learning. This work presents a method of lung segmentation based on deep learning and computer vision techniques to aid in the medical diagnosis of lung diseases. The method uses the Detectron2 convolutional neural network for detection, which obtained 99.89% accuracy for detecting the pulmonary region. It was then combined with the LevelSet method for segmentation, which got 99.32% accuracy in segmentation in Lung Computed Tomography images being equivalent in state of the art, surpassing different deep learning models for segmentation.<\/p>\n<p><strong>Keywords:<\/strong> Medical Images, Computed Tomography, Deep Learning, Pulmonary Detection and Segmentation.<\/p>\n<p><strong>DOI code:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol19-no1-art4\">10.21528\/lnlm-vol19-no1-art4<\/a><\/p>\n<p><strong>PDF file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/12\/vol19-no1-art4.pdf\">vol19-no1-art4.pdf<\/a><\/p>\n<p><strong>BibTex file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/12\/vol19-no1-art4.bib\">vol19-no1-art4.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pedro Cavalcante Sousa J\u00fanior , Lu\u00eds Fabr\u00edcio de Freitas Souza , Jos\u00e9 Jerovane da Costa Nascimento , Lucas Oliveira dos Santos , Adriell Gomes Marques , Francisco Eduardo Sales Ribeiro , e Pedro Pedrosa Rebou\u00e7as Filho Abstract: Lung diseases are <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol19-no1\/vol19-no1-art4\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1380,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1438","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - 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