{"id":1476,"date":"2026-08-31T21:04:05","date_gmt":"2026-08-31T18:04:05","guid":{"rendered":"https:\/\/www.tayfnews.tech\/tr\/?p=1476"},"modified":"2026-08-31T21:04:05","modified_gmt":"2026-08-31T18:04:05","slug":"microsoft-researchten-gigapath-flash-modelleri-tanitildi","status":"publish","type":"post","link":"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-researchten-gigapath-flash-modelleri-tanitildi\/","title":{"rendered":"Microsoft Research&#8217;ten GigaPath-Flash Modelleri Tan\u0131t\u0131ld\u0131"},"content":{"rendered":"<p>Microsoft Research, y\u00fcksek d\u00fczeyde performans metriklerini korurken hesaplama kayna\u011f\u0131 gereksinimlerini dramatik \u00f6l\u00e7\u00fcde azaltmak i\u00e7in tasarlanan iki geli\u015fmi\u015f <strong>patoloji temel modeli<\/strong> olan <strong>GigaPath-Flash<\/strong> ve <strong>GigaTIME-Flash<\/strong>&#8216;\u0131 tan\u0131tt\u0131. Modern hesaplamal\u0131 biyolojide, t\u00fcm slayt doku g\u00f6r\u00fcnt\u00fclerini analiz eden derin \u00f6\u011frenme modelleri tarihsel olarak muazzam bir i\u015flem g\u00fcc\u00fc ve bellek talep etmi\u015ftir. Yeni tan\u0131t\u0131lan flash varyantlar\u0131, bu a\u011f\u0131r hesaplama engellerini d\u00fc\u015f\u00fcrerek kapsaml\u0131, pop\u00fclasyon \u00f6l\u00e7e\u011finde t\u0131bbi \u00e7al\u0131\u015fmalar\u0131n ve dijital patoloji genelinde \u00e7ok daha geni\u015f ke\u015fif ara\u015ft\u0131rmalar\u0131n\u0131n \u00f6n\u00fcn\u00fc a\u00e7\u0131yor.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_87 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0130\u00e7indekiler<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u0130\u00e7indekiler Tablosunu A\u00e7\/Kapat\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-researchten-gigapath-flash-modelleri-tanitildi\/#Dijital_Patolojide_Hesaplama_Darbogazlarinin_Ustesinden_Gelmek\" >Dijital Patolojide Hesaplama Darbo\u011fazlar\u0131n\u0131n \u00dcstesinden Gelmek<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-researchten-gigapath-flash-modelleri-tanitildi\/#Temel_Mimari_Avantajlar\" >Temel Mimari Avantajlar<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-researchten-gigapath-flash-modelleri-tanitildi\/#Populasyon_Olceginde_Kesfi_Etkinlestirme\" >Pop\u00fclasyon \u00d6l\u00e7e\u011finde Ke\u015ffi Etkinle\u015ftirme<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Dijital_Patolojide_Hesaplama_Darbogazlarinin_Ustesinden_Gelmek\"><\/span>Dijital Patolojide Hesaplama Darbo\u011fazlar\u0131n\u0131n \u00dcstesinden Gelmek<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Patoloji temel modelleri, otomatik doku analizi i\u00e7in altta yatan zeka g\u00f6revi g\u00f6rerek ara\u015ft\u0131rmac\u0131lar\u0131n ince hastal\u0131k belirte\u00e7lerini tespit etmesine, mikro \u00e7evreleri anlamas\u0131na ve klinik sonu\u00e7lar\u0131 tahmin etmesine yard\u0131mc\u0131 olur. Bununla birlikte, genellikle tek bir \u00f6rnek i\u00e7in gigabaytlarca boyuta sahip olan y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc dijital patoloji slaytlar\u0131n\u0131n boyutu, bu mimarilerin e\u011fitilmesini ve da\u011f\u0131t\u0131lmas\u0131n\u0131 kaynak yo\u011fun hale getirmektedir. GigaPath-Flash ve GigaTIME-Flash do\u011frudan bu altyap\u0131 darbo\u011faz\u0131n\u0131 hedefleyerek, geli\u015fmi\u015f makine \u00f6\u011frenimi \u00e7er\u00e7evelerinin \u00f6nemli \u00f6l\u00e7\u00fcde daha az hesaplama y\u00fck\u00fcyle g\u00fc\u00e7l\u00fc analitik yetenekler elde edebilece\u011fini g\u00f6steriyor.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Temel_Mimari_Avantajlar\"><\/span>Temel Mimari Avantajlar<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Azalt\u0131lm\u0131\u015f Hesaplama Talepleri:<\/strong> Her iki model de geleneksel, daha a\u011f\u0131r mimarilere k\u0131yasla i\u015flem kayna\u011f\u0131 gereksinimlerini azalt\u0131r.<\/li>\n<li><strong>Korunan Performans:<\/strong> Verimlilik kazan\u00e7lar\u0131na ra\u011fmen g\u00fc\u00e7l\u00fc tahmin ve analitik performans korunur.<\/li>\n<li><strong>Pop\u00fclasyon \u00d6l\u00e7e\u011finde Potansiyel:<\/strong> Optimize edilmi\u015f verimlilik, devasa \u00f6l\u00e7ekli epidemiyolojik ve klinik ara\u015ft\u0131rmalar i\u00e7in yollar a\u00e7ar.<\/li>\n<li><strong>Geni\u015f Ke\u015fif:<\/strong> Ara\u015ft\u0131rmac\u0131lar, donan\u0131m b\u00fct\u00e7elerini orant\u0131l\u0131 olarak \u00f6l\u00e7eklendirmeden kohort boyutlar\u0131n\u0131 art\u0131rabilir.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Populasyon_Olceginde_Kesfi_Etkinlestirme\"><\/span>Pop\u00fclasyon \u00d6l\u00e7e\u011finde Ke\u015ffi Etkinle\u015ftirme<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Hesaplama i\u015f ak\u0131\u015f\u0131n\u0131 kolayla\u015ft\u0131rarak, GigaPath-Flash ve GigaTIME-Flash ara\u015ft\u0131rma kurumlar\u0131n\u0131n ve sa\u011fl\u0131k kurulu\u015flar\u0131n\u0131n veri i\u015fleme hatlar\u0131n\u0131 verimli bir \u015fekilde \u00f6l\u00e7eklendirmesine olanak tan\u0131r. Binlerce veya y\u00fczbinlerce t\u00fcm slayt g\u00f6r\u00fcnt\u00fcs\u00fcn\u00fc analiz etmek, \u00e7\u0131kar\u0131mlar\u0131 h\u0131zl\u0131 ve uygun maliyetli bir \u015fekilde y\u00fcrize edebilen modeller gerektirir. Bu verimli yinelemeler, b\u00fcy\u00fck operasyonel s\u00fcrt\u00fc\u015fme noktalar\u0131n\u0131 ortadan kald\u0131rarak b\u00fcy\u00fck \u00f6l\u00e7ekli hesaplamal\u0131 patoloji giri\u015fimlerinin ara\u015ft\u0131rma ortamlar\u0131nda neleri ba\u015farabilece\u011finin s\u0131n\u0131rlar\u0131n\u0131 de\u011fi\u015ftiriyor.<\/p>\n<p><em>Kaynak: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/gigapath-flash-and-gigatime-flash-toward-population-scale-discovery-with-efficient-pathology-foundation-models\/\" target=\"_blank\" rel=\"noopener noreferrer\">Orijinal Makale<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft Research taraf\u0131ndan pop\u00fclasyon \u00f6l\u00e7e\u011finde t\u0131bbi ke\u015fifler i\u00e7in geli\u015ftirilen GigaPath-Flash ve GigaTIME-Flash modellerini ke\u015ffedin.<\/p>\n","protected":false},"author":1,"featured_media":1475,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowrrDMDA:productID":"","tayfnews_source_url":"","footnotes":"","rank_math_focus_keyword":"GigaPath-Flash Modelleri, patoloji temel modelleri, Microsoft Research, Dijital Patoloji, T\u0131bbi Ara\u015ft\u0131rma, Sa\u011fl\u0131k","rank_math_title":"Microsoft Research'ten GigaPath-Flash Modelleri Tan\u0131t\u0131ld\u0131","rank_math_description":"Microsoft Research taraf\u0131ndan pop\u00fclasyon \u00f6l\u00e7e\u011finde t\u0131bbi ke\u015fifler i\u00e7in geli\u015ftirilen GigaPath-Flash ve GigaTIME-Flash modellerini ke\u015ffedin."},"categories":[10],"tags":[],"class_list":["post-1476","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health-medicine"],"_links":{"self":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/1476","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/comments?post=1476"}],"version-history":[{"count":1,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/1476\/revisions"}],"predecessor-version":[{"id":1477,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/1476\/revisions\/1477"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/media\/1475"}],"wp:attachment":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/media?parent=1476"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/categories?post=1476"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/tags?post=1476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}