{"id":10798,"date":"2019-05-15T08:00:38","date_gmt":"2019-05-14T23:00:38","guid":{"rendered":"https:\/\/academist-cf.com\/journal\/?p=10798"},"modified":"2019-05-24T16:35:51","modified_gmt":"2019-05-24T07:35:51","slug":"ai%e3%81%ab%e3%82%88%e3%82%8b%e7%b7%91%e5%86%85%e9%9a%9c%e3%81%ae%e8%87%aa%e5%8b%95%e8%a8%ba%e6%96%ad-%e6%9c%aa%e6%9d%a5%e5%9e%8b%e3%81%ae%e5%80%8b%e5%88%a5%e5%8c%96%e5%8c%bb%e7%99%82%e3%82%92","status":"publish","type":"post","link":"https:\/\/academist-cf.com\/journal\/?p=10798","title":{"rendered":"AI\u306b\u3088\u308b\u7dd1\u5185\u969c\u306e\u81ea\u52d5\u8a3a\u65ad &#8211; \u672a\u6765\u578b\u306e\u500b\u5225\u5316\u533b\u7642\u3092\u76ee\u6307\u3057\u3066"},"content":{"rendered":"<p><strong><a href=\"https:\/\/academist-cf.com\/journal\/?p=2115\">\u3010\u95a2\u9023\u8a18\u4e8b\u3011\u7dd1\u5185\u969c\u306b\u3088\u308b\u5931\u660e\u3092\u98df\u3044\u6b62\u3081\u305f\u3044 \u2013 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\u9ec4\u6591\u90e8\u306e\u795e\u7d4c\u7bc0\u7d30\u80de\u8907\u5408\u4f53\u30c7\u30d3\u30a8\u30fc\u30b7\u30e7\u30f3\u30de\u30c3\u30d7\u3092\u62bd\u51fa\u3057\u307e\u3057\u305f\u3002\u30c7\u30d3\u30a8\u30fc\u30b7\u30e7\u30f3\u30de\u30c3\u30d7\u306f\u3001\u6b63\u5e38\u773c\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304b\u3089\u7b97\u51fa\u3057\u305f\u5c64\u539a\u30de\u30c3\u30d7\u306e\u5e73\u5747\u753b\u50cf\u3068\u306e\u5dee\u5206\u753b\u50cf\u3067\u3059\u3002<\/p>\n<figure id=\"attachment_10799\" aria-describedby=\"caption-attachment-10799\" style=\"width: 600px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10799\" src=\"https:\/\/academist-cf.com\/journal\/wp-content\/uploads\/2019\/05\/001.jpg\" alt=\"\" width=\"600\" height=\"120\" srcset=\"https:\/\/academist-cf.com\/journal\/wp-content\/uploads\/2019\/05\/001.jpg 600w, https:\/\/academist-cf.com\/journal\/wp-content\/uploads\/2019\/05\/001-300x60.jpg 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><figcaption id=\"caption-attachment-10799\" class=\"wp-caption-text\">5\u7a2e\u985e\u306e\u5165\u529b\u753b\u50cf\u306e\u30b5\u30f3\u30d7\u30eb\uff08\u7dd1\u5185\u969c\uff09<br \/>\u5de6\u304b\u3089\u53f3\u306e\u9806\u3067\u30011) \u30ab\u30e9\u30fc\u773c\u5e95\u306e\u30b0\u30ea\u30fc\u30f3\u30c1\u30e3\u30f3\u30cd\u30eb\u30012) \u8996\u795e\u7d4c\u4e73\u982d\u795e\u7d4c\u7dda\u7dad\u5c64\u5c64\u539a\u30de\u30c3\u30d7\u30013) \u8996\u795e\u7d4c\u4e73\u982d\u795e\u7d4c\u7dda\u7dad\u5c64\u30c7\u30d3\u30a8\u30fc\u30b7\u30e7\u30f3\u30de\u30c3\u30d7\u30014) \u9ec4\u6591\u90e8\u795e\u7d4c\u7bc0\u7d30\u80de\u8907\u5408\u4f53\u5c64\u539a\u30de\u30c3\u30d7\u30015) \u9ec4\u6591\u90e8\u795e\u7d4c\u7bc0\u7d30\u80de\u8907\u5408\u4f53\u30c7\u30d3\u30a8\u30fc\u30b7\u30e7\u30f3\u30de\u30c3\u30d7<\/figcaption><\/figure>\n<p>\u6b21\u306b\u3001\u4e0a\u8a185\u7a2e\u985e\u306e\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3064\u3044\u3066\u3001\u516c\u958b\u3055\u308c\u305f\u8a13\u7df4\u6e08\u306eCNN\uff08\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af: Convolutional Neural Network\uff09\u30e2\u30c7\u30eb\u306e1\u7a2e\u3067\u3042\u308bVGG19\u30e2\u30c7\u30eb\uff08\u8ee2\u79fb\u5b66\u7fd2\uff09\u3092\u7528\u3044\u3066\u3001\u305d\u308c\u305e\u308c\u306eVGG19\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>CNN\u3067\u306f\u4e00\u822c\u7684\u306b\u7279\u5fb4\u91cf\u62bd\u51fa\u90e8\u3068\u5206\u985e\u90e8\u304c\u3042\u308a\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u3088\u3063\u3066\u4e21\u8005\u3068\u3082\u306b\u81ea\u52d5\u7684\u306b\u5b66\u7fd2\u3055\u308c\u307e\u3059\u3002\u672c\u7814\u7a76\u3067\u306f\u3001\u305d\u308c\u3089\u306eVGG19\u30e2\u30c7\u30eb\u306e\u7279\u5fb4\u62bd\u51fa\u90e8\u304b\u3089\u6b63\u5e38\u3068\u7dd1\u5185\u969c\u3092\u5206\u985e\u3059\u308b\u306e\u306b\u5fc5\u8981\u306a\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3057\u305f\u5f8c\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3067\u5b66\u7fd2\u3055\u305b\u307e\u3057\u305f\u3002<\/p>\n<p>\u69cb\u7bc9\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u8abf\u3079\u308b\u305f\u3081\u306b\u300110-\u5206\u5272\u4ea4\u5dee\u691c\u8a3c\u6cd5\u306b\u3088\u308a\u5404\u7a2e\u753b\u50cf\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u691c\u8a3c\u3057\u305f\u7d50\u679c\u3001\u6700\u9ad8\u6027\u80fd\u3068\u3057\u30660.963\u306eAUC\uff08Area Under the 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K, An G, Tsuda S, Shiga Y, Takada N, Kikawa T, Takahashi H, Yokota H, Akiba M, Nakazawa T. &#8220;Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters&#8221; <em>PLoS One.<\/em> 2017 Dec 19;12(12):e0190012.<\/li>\n<li>An G, Omodaka K, Hashimoto K, Tsuda S, Shiga Y, Takada N, Kikawa T, Yokota H, Akiba M, Nakazawa T. &#8220;Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images&#8221; <em>J Healthc Eng.<\/em> 2019 Feb 18;2019:4061313.<\/li>\n<li>An G, Omodaka K, Tsuda S, Shiga Y, Takada N, Kikawa T, Nakazawa T, Yokota H, Akiba M. &#8220;Comparison of Machine-Learning Classification Models for Glaucoma Management&#8221; <em>J Healthc Eng.<\/em> 2018 Jun 19;2018:6874765.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u3010\u95a2\u9023\u8a18\u4e8b\u3011\u7dd1\u5185\u969c\u306b\u3088\u308b\u5931\u660e\u3092\u98df\u3044\u6b62\u3081\u305f\u3044 \u2013 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