{"id":5669,"date":"2020-11-05T14:33:57","date_gmt":"2020-11-05T14:33:57","guid":{"rendered":"https:\/\/uptec.up.pt\/?p=5669"},"modified":"2020-11-05T14:33:57","modified_gmt":"2020-11-05T14:33:57","slug":"tecnologia-gps-para-neuronavegacao-e-sistema-que-deteta-cancro-atraves-de-imagens-vencem-fraunhofer-portugal-challenge-2020","status":"publish","type":"post","link":"https:\/\/uptec.fera.miewstudio.com\/pt-pt\/tecnologia-gps-para-neuronavegacao-e-sistema-que-deteta-cancro-atraves-de-imagens-vencem-fraunhofer-portugal-challenge-2020\/","title":{"rendered":"Tecnologia GPS para neuronavega\u00e7\u00e3o e sistema que deteta cancro atrav\u00e9s de imagens vencem Fraunhofer Portugal Challenge 2020"},"content":{"rendered":"<div class=\"wpb-content-wrapper\">[vc_row][vc_column width=&#8221;1\/1&#8243;][vc_column_text alpha-anim&#8221;]In\u00eas Machado (Instituto Superior T\u00e9cnico) e Isabel Oliveira (Faculdade de Engenharia da U. Porto) foram as grandes vencedoras da 11\u00aa edi\u00e7\u00e3o do Fraunhofer Portugal Challenge, concurso promovido pelo Fraunhofer Portugal, instituto sediado na UPTEC \u2014 Parque de Ci\u00eancia e Tecnologia da U. Porto. <strong>As investigadoras desenvolveram, respetivamente, uma tecnologia GPS aplicada \u00e0 neurocirurgia e uma solu\u00e7\u00e3o que prop\u00f5e a cria\u00e7\u00e3o de um sistema, uma rede neuronal, capaz de detetar cancro atrav\u00e9s de imagens.<\/strong>[\/vc_column_text][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;margin-top-30&#8243;][vc_column width=&#8221;5\/12&#8243;][vc_single_image media=&#8221;5671&#8243; media_width_percent=&#8221;100&#8243; bottom-t-top&#8221;][\/vc_column][vc_column width=&#8221;7\/12&#8243;][vc_column_text alpha-anim&#8221;]Na categoria <em>Doutoramento<\/em>, In\u00eas Machado conquistou o primeiro lugar um sistema similar ao sistema GPS, aplicado \u00e0 neurocirurgia. <em>Sneaking into the brain with a new GPS-like technology<\/em> \u00e9 uma tecnologia j\u00e1 validada por neurocirurgi\u00f5es,\u00a0radiologistas e engenheiros do MIT e Harvard Medical School. A tecnologia apresentada leva a uma remo\u00e7\u00e3o mais completa de patologias e ajuda a evitar danos importantes \u00e0s estruturas neurais, o que resulta numa diminui\u00e7\u00e3o na morbidade e mortalidade do paciente, diminui\u00e7\u00e3o do custo de sa\u00fade e uma melhoria na preserva\u00e7\u00e3o m\u00e1xima das fun\u00e7\u00f5es neurocognitivas do paciente.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;][vc_column_text alpha-anim&#8221;]\r\n<div class=\"uncode_text_column alpha-anim animate_when_almost_visible start_animation\">\r\n\r\nJ\u00e1 na categoria <em>Mestrado<\/em>, a grande vencedora foi Isabel Oliveira, investigadora da Faculdade de Engenharia da U. Porto. <em>Understanding the decisions of CNNs: An in-model approach<\/em> prop\u00f5e a cria\u00e7\u00e3o de um sistema \u2014 uma rede neuronal \u2014 capaz de detetar cancro atrav\u00e9s de imagens. O trabalho apostou no desenvolvimento de uma ferramenta capaz de produzir explica\u00e7\u00f5es visuais para as decis\u00f5es do classificador, salientando as regi\u00f5es mais afetadas e permitindo, desta forma, assegurar e melhorar o processo de avalia\u00e7\u00e3o humana dos resultados dos algoritmos.\r\n\r\n<\/div>\r\n[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text alpha-anim&#8221;]\r\n<div class=\"uncode_text_column alpha-anim animate_when_almost_visible start_animation\">\r\n\r\nO p\u00f3dio, na categoria <em>Doutoramento<\/em>, fica completo com o segundo lugar de Renato Panda (Universidade de Coimbra) e o terceiro lugar de Daniel Dinis (Universidade de Aveiro). Pedro Dias (Faculdade de Engenharia da U. Porto) e Bruno Degardin (Universidade da Beira Interior) arrecadaram o segundo e terceiro pr\u00e9mio, respetivamente, na categoria <em>Mestrado<\/em>. Os vencedores do concurso foram escolhidos por um j\u00fari de especialistas na \u00e1rea das tecnologias, num evento que este ano, excecionalmente, decorreu remotamente.\r\n\r\n<\/div>\r\n[\/vc_column_text][vc_empty_space empty_h=&#8221;2&#8243;][vc_column_text alpha-anim&#8221;]\r\n<div class=\"uncode_text_column alpha-anim animate_when_almost_visible start_animation\">\r\n\r\nOrganizado desde 2010, o Fraunhofer Portugal Challenge procura encorajar a coopera\u00e7\u00e3o entre a ind\u00fastria e a comunidade cient\u00edfica. \u00a0O concurso envolve duas categorias, Mestrado e Doutoramento, sendo premiados tr\u00eas finalistas em cada uma delas (seis no total). O valor global dos pr\u00e9mios cient\u00edficos \u00e9 de 9 mil euros.\r\n\r\n<\/div>\r\n[\/vc_column_text][\/vc_column][\/vc_row]<\/div>","protected":false},"excerpt":{"rendered":"Investigadoras do Instituto Superior T\u00e9cnico da Faculdade de Engenharia da U. Porto foram as grandes vencedoras da 11\u00aa edi\u00e7\u00e3o do Fraunhofer Portugal Challenge.","protected":false},"author":1,"featured_media":5672,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[142],"tags":[324],"class_list":["post-5669","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-highlights-pt-pt","tag-concurso-pt-pt"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Tecnologia GPS para neuronavega\u00e7\u00e3o e sistema que deteta cancro atrav\u00e9s de imagens vencem Fraunhofer Portugal Challenge 2020 - UPTEC<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tecnologia GPS para neuronavega\u00e7\u00e3o e sistema que deteta cancro atrav\u00e9s de imagens vencem Fraunhofer Portugal Challenge 2020 - UPTEC\" \/>\n<meta property=\"og:description\" content=\"Investigadoras do Instituto Superior T\u00e9cnico da Faculdade de Engenharia da U. 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