{"id":5424,"date":"2026-07-02T19:41:58","date_gmt":"2026-07-02T18:41:58","guid":{"rendered":"https:\/\/cancercenter.ai\/analiza-ai-badania-mri\/"},"modified":"2026-07-02T19:41:58","modified_gmt":"2026-07-02T18:41:58","slug":"analiza-ai-badania-mri","status":"publish","type":"page","link":"https:\/\/cancercenter.ai\/pl\/analiza-ai-badania-mri\/","title":{"rendered":"Analiza AI badania MRI"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|desktop&#8221; admin_label=&#8221;section&#8221; _builder_version=&#8221;3.22&#8243; background_color=&#8221;#1895d7&#8243; parallax=&#8221;on&#8221; parallax_method=&#8221;off&#8221; custom_padding_tablet=&#8221;50px|0|50px|0&#8243; custom_padding_phone=&#8221;&#8221; transparent_background=&#8221;off&#8221; padding_mobile=&#8221;off&#8221; make_fullwidth=&#8221;off&#8221; use_custom_width=&#8221;off&#8221; width_unit=&#8221;on&#8221;][et_pb_row admin_label=&#8221;wiersz&#8221; _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; text_orientation=&#8221;center&#8221; background_layout=&#8221;dark&#8221; module_alignment=&#8221;center&#8221; use_border_color=&#8221;off&#8221; border_color=&#8221;#ffffff&#8221; border_style=&#8221;solid&#8221;]<\/p>\n<h1 style=\"font-size: 72px; font-weight: 300;\">Analiza wynik\u00f3w badania MRI DICOM<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; column_structure=&#8221;1_4,1_2,1_4&#8243;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/cancercenter.ai\/wp-content\/uploads\/2016\/04\/mri.gif&#8221; alt=&#8221;Rezonans magnetyczny guza m\u00f3zgu&#8221; title_text=&#8221;Rezonans magnetyczny guza m\u00f3zgu&#8221; align=&#8221;center&#8221; align_tablet=&#8221;center&#8221; align_last_edited=&#8221;on|desktop&#8221; admin_label=&#8221;ObrazBrainTumorMRI&#8221; _builder_version=&#8221;3.23&#8243; border_style=&#8221;solid&#8221; animation=&#8221;off&#8221; sticky=&#8221;off&#8221; always_center_on_mobile=&#8221;on&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;3.22&#8243;][et_pb_row admin_label=&#8221;wiersz&#8221; _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; column_structure=&#8221;1_2,1_2&#8243;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; module_alignment=&#8221;left&#8221; use_border_color=&#8221;off&#8221; border_color=&#8221;#ffffff&#8221; border_style=&#8221;solid&#8221;]<\/p>\n<h2>Nasza misja<\/h2>\n<p>Nasz\u0105 misj\u0105 jest po\u0142\u0105czenie najnowszych osi\u0105gni\u0119\u0107 bada\u0144 informatycznych z obrazowaniem medycznym w celu poprawy jako\u015bci diagnostyki, oszcz\u0119dno\u015bci czasu lekarzy i, ostatecznie, zapewnienia pacjentom wi\u0119kszych szans na wyleczenie. Mamy nadziej\u0119, \u017ce pewnego dnia, dzi\u0119ki naszym rozwi\u0105zaniom, lekarze b\u0119d\u0105 mieli wi\u0119cej czasu, by skupi\u0107 si\u0119 na naprawd\u0119 trudnych przypadkach, b\u0119d\u0105 dysponowali narz\u0119dziem pozwalaj\u0105cym na dodatkow\u0105 weryfikacj\u0119 diagnozy w razie jakichkolwiek w\u0105tpliwo\u015bci, a pacjenci b\u0119d\u0105 mogli szybciej rozpocz\u0105\u0107 odpowiednie leczenie.<br \/>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; module_alignment=&#8221;left&#8221; border_style=&#8221;solid&#8221;]<\/p>\n<h2>Rozwi\u0105zanie<\/h2>\n<p>Wierzymy, \u017ce aby uczyni\u0107 \u015bwiat leczenia nowotwor\u00f3w lepszym miejscem, musimy w pe\u0142ni wykorzysta\u0107 mo\u017cliwo\u015bci technologii. Uwa\u017camy, \u017ce regularne stosowanie zaawansowanych technik uczenia maszynowego w diagnostyce obrazowej stanowi kolejny wielki krok naprz\u00f3d, jaki nasze spo\u0142ecze\u0144stwo musi wykona\u0107, aby osi\u0105gn\u0105\u0107 post\u0119p, i jeste\u015bmy gotowi w pe\u0142ni wspiera\u0107 t\u0119 transformacj\u0119. <\/p>\n<p>Zobacz tak\u017ce internetow\u0105 przegl\u0105dark\u0119 obraz\u00f3w DICOM (narz\u0119dzie radiologiczne online): <a href=\"https:\/\/radiology.cancercenter.eu\" target=\"_blank\" rel=\"noopener nofollow\">https:\/\/radiology.cancercenter.eu<\/a> oraz nasz\u0105 <a href=\"http:\/\/cancercenter.ai\/wp-content\/uploads\/2016\/04\/presentation-2016-master-gg-easy.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">prezentacj\u0119<\/a>.<br \/>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;3.22&#8243;][et_pb_row _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; module_alignment=&#8221;left&#8221; use_border_color=&#8221;off&#8221; border_color=&#8221;#ffffff&#8221; border_style=&#8221;solid&#8221;]<\/p>\n<h2>Nasze studium przypadku<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; column_structure=&#8221;1_2,1_2&#8243;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; module_alignment=&#8221;left&#8221; use_border_color=&#8221;off&#8221; border_color=&#8221;#ffffff&#8221; border_style=&#8221;solid&#8221;]<span style=\"font-weight: 400;\">Celem tego projektu by\u0142o opracowanie metod segmentacji i klasyfikacji na podstawie obraz\u00f3w MRI m\u00f3zgu. Pr\u00f3bki podzielono na dwie kategorie \u2013 oligodendrogliom i astrocytom (nowotwory glejowe). Cz\u0119\u015bci\u0105 badania by\u0142o ustalenie korelacji mi\u0119dzy klasyfikacj\u0105 opart\u0105 na wynikach MRI a klasyfikacj\u0105 opart\u0105 na wynikach bada\u0144 patologicznych. W ramach badania dokonano oceny istniej\u0105cych podej\u015b\u0107 naukowych i por\u00f3wnano je z podej\u015bciem zaproponowanym w niniejszym artykule.     <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Obrazy radiologiczne tego samego pacjenta r\u00f3\u017cni\u0142y si\u0119 pod wzgl\u0119dem kszta\u0142tu, \u015bredniego poziomu intensywno\u015bci oraz pozycji g\u0142owy. Zar\u00f3wno metoda Otsu, jak i metoda adaptacyjna oparta na szczytach histogramu (patrz sekcja 2.3) pozwoli\u0142y na wyodr\u0119bnienie maski binarnej g\u0142owy. Najwi\u0119kszym wyzwaniem by\u0142o wybranie odpowiedniego klastra, odpowiadaj\u0105cego obszarowi guza. Nie uda\u0142o nam si\u0119 tego osi\u0105gn\u0105\u0107 przy u\u017cyciu wy\u0142\u0105cznie pojedynczego (podstawowego) algorytmu segmentacji. Analiza symetrii p\u00f3\u0142kul okaza\u0142a si\u0119 wszechstronnym narz\u0119dziem do klasyfikacji klastr\u00f3w (czy jest to guz, czy nie). W obszarach nieobj\u0119tych guzem r\u00f3\u017cnice w symetrii by\u0142y subtelne.     <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Z obraz\u00f3w T1, T1C, FLAIR i T2 wyodr\u0119bniono cechy dotycz\u0105ce intensywno\u015bci, kszta\u0142tu, po\u0142o\u017cenia oraz tekstury. Na podstawie ewolucji i doboru cech okre\u015blono po\u0142o\u017cenie guza oraz rozk\u0142ad intensywno\u015bci   <\/span><span style=\"font-weight: 400;\">na zdj\u0119ciu FLAIR by\u0142o najbardziej miarodajne. Zgodnie z literatur\u0105 oligodendroglioma cz\u0119sto wyst\u0119puje   <\/span><span style=\"font-weight: 400;\">w p\u0142acie czo\u0142owym i skroniowym, co potwierdzi\u0142y moje dane. Gdyby\u015bmy dysponowali jedynie   <\/span><span style=\"font-weight: 400;\">W przypadku lokalizacji guza klasyfikator z walidacj\u0105 krzy\u017cow\u0105 osi\u0105gn\u0105\u0142by dok\u0142adno\u015b\u0107 na poziomie 70% (odchylenie standardowe: 12). Rozk\u0142ad intensywno\u015bci w obrazie FLAIR wykazywa\u0142 wysok\u0105 korelacj\u0119 i mia\u0142 najwi\u0119ksze znaczenie. W obrazach T2 zmiany zawsze charakteryzowa\u0142y si\u0119 wysok\u0105 intensywno\u015bci\u0105, natomiast w obrazach FLAIR zmiany by\u0142y albo cz\u0119\u015bciowo jasne, albo ciemne. Klasyfikacja oparta na wzorcach teksturalnych wymaga wi\u0119kszej liczby pr\u00f3bek, aby by\u0142a skuteczna.     <\/span><span style=\"font-weight: 400;\">Klasyfikator typu \u201eRandom Forest\u201d, zweryfikowany za pomoc\u0105 k-krotnej walidacji krzy\u017cowej, osi\u0105gn\u0105\u0142 \u015bredni\u0105 dok\u0142adno\u015b\u0107 na poziomie 87,0% (odchylenie standardowe: <\/span><span style=\"font-weight: 400;\">12,991).<\/span><br \/>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/cancercenter.ai\/wp-content\/uploads\/2016\/04\/mri_images-1.png&#8221; align=&#8221;center&#8221; align_tablet=&#8221;center&#8221; align_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;3.23&#8243; animation_style=&#8221;slide&#8221; animation_direction=&#8221;right&#8221; animation_duration=&#8221;500ms&#8221; animation_intensity_slide=&#8221;10%&#8221; 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Mamy nadziej\u0119, \u017ce pewnego dnia, dzi\u0119ki naszym rozwi\u0105zaniom, lekarze b\u0119d\u0105 mieli wi\u0119cej czasu, by skupi\u0107 si\u0119 na naprawd\u0119 trudnych przypadkach, b\u0119d\u0105 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","content-type":"","footnotes":""},"class_list":["post-5424","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/pages\/5424","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/comments?post=5424"}],"version-history":[{"count":2,"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/pages\/5424\/revisions"}],"predecessor-version":[{"id":5426,"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/pages\/5424\/revisions\/5426"}],"wp:attachment":[{"href":"https:\/\/cancercenter.ai\/pl\/wp-json\/wp\/v2\/media?parent=5424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}