{"id":62,"date":"2023-11-04T12:25:20","date_gmt":"2023-11-04T03:25:20","guid":{"rendered":"https:\/\/deeprad.co.jp\/?page_id=62"},"modified":"2023-11-04T12:31:11","modified_gmt":"2023-11-04T03:31:11","slug":"%e6%b4%bb%e5%8b%95%e5%ae%9f%e7%b8%be","status":"publish","type":"page","link":"https:\/\/deeprad.co.jp\/?page_id=62","title":{"rendered":"\u6d3b\u52d5\u5b9f\u7e3e"},"content":{"rendered":"\n<p>\u5f0a\u793e\u306e\u652f\u63f4\u3057\u305f\u6280\u8853\u306e\u4e00\u90e8\u3092\u627f\u8afe\u3092\u5f97\u305f\u4e0a\u3067\u63b2\u8f09\u3057\u307e\u3059\u3002\u3044\u305a\u308c\u306e\u8ad6\u6587\u3067\u3082\u8b1d\u8f9e(Acknowledgement)\u306b\u3066\u4ee3\u8868\u3067\u3042\u308b\u732a\u4fe3\u5145\u592e\u304c\u7d39\u4ecb\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Deep Learning\u2013based Angiogram Generation Model for Cerebral Angiography without Misregistration Artifacts<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\u63b2\u8f09\u30b8\u30e3\u30fc\u30ca\u30eb<\/h3>\n\n\n\n<p>Radiology<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u6982\u8981<\/h3>\n\n\n\n<p>\u30c7\u30b8\u30bf\u30eb\u6e1b\u7b97\u8840\u7ba1\u64ae\u5f71\uff08DSA\uff09\u306e\u753b\u8cea\u3092\u5411\u4e0a\u3055\u305b\u308b\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u958b\u767a\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u52d5\u7684\u8840\u7ba1\u64ae\u5f71\u753b\u50cf\u304b\u3089\u76f4\u63a5\u3001DSA\u306b\u985e\u4f3c\u3057\u305f\u8133\u8840\u7ba1\u753b\u50cf\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u304a\u308a\u3001\u60a3\u8005\u306e\u52d5\u304d\u306b\u3088\u308b\u30df\u30b9\u30ec\u30b8\u30b9\u30c8\u30ec\u30fc\u30b7\u30e7\u30f3\u30a2\u30fc\u30c6\u30a3\u30d5\u30a1\u30af\u30c8\u3092\u89e3\u6d88\u3057\u307e\u3059\u30022019\u5e741\u6708\u304b\u30894\u6708\u306b\u304b\u3051\u3066\u53ce\u96c6\u3055\u308c\u305f\u753b\u50cf\u30da\u30a2\u3092\u7528\u3044\u305f\u5f8c\u65b9\u8996\u7684\u306a\u7814\u7a76\u306b\u304a\u3044\u3066\u3001\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u8a13\u7df4\u3001\u691c\u8a3c\u3001\u5916\u90e8\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u91cf\u7684\u306b\u3082\u8996\u899a\u7684\u306b\u3082\u8a55\u4fa1\u3055\u308c\u3001\u9ad8\u3044\u4fe1\u53f7\u5bfe\u96d1\u97f3\u6bd4\uff08PSNR\uff09\u3068\u69cb\u9020\u985e\u4f3c\u6027\u6307\u6a19\uff08SSIM\uff09\u3092\u8a18\u9332\u3057\u307e\u3057\u305f\u3002\u305d\u306e\u7d50\u679c\u3001\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u81e8\u5e8a\u7684\u306b\u6709\u7528\u3067\u3001\u91cd\u8981\u306a\u30a2\u30fc\u30c6\u30a3\u30d5\u30a1\u30af\u30c8\u304c\u306a\u3044\u8133\u8840\u7ba1\u753b\u50cf\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u304c\u793a\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u672c\u6587\u3078\u306e<a href=\"https:\/\/doi.org\/10.1148\/radiol.2021203692\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1148\/radiol.2021203692\">\u30ea\u30f3\u30af<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\u63b2\u8f09\u30b8\u30e3\u30fc\u30ca\u30eb<\/h3>\n\n\n\n<p>Journal of Clinical Oncology: Precision Oncology<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u6982\u8981<\/h3>\n\n\n\n<p>\u4e73\u304c\u3093\u306e\u5206\u5b50\u30b5\u30d6\u30bf\u30a4\u30d7\u3092\u7279\u5b9a\u3059\u308b\u305f\u3081\u306e\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u958b\u767a\u3092\u652f\u63f4\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u30de\u30f3\u30e2\u30b0\u30e9\u30e0\u304b\u3089\u30a8\u30b9\u30c8\u30ed\u30b2\u30f3\u53d7\u5bb9\u4f53\uff08ER\uff09\u3001\u30d7\u30ed\u30b2\u30b9\u30c6\u30ed\u30f3\u53d7\u5bb9\u4f53\uff08PgR\uff09\u3001\u30d2\u30c8\u4e0a\u76ae\u6210\u9577\u56e0\u5b50\u53d7\u5bb9\u4f532\uff08HER2\uff09\u306e\u8868\u73fe\u3092\u8b58\u5225\u3059\u308b\u80fd\u529b\u3092\u6301\u3061\u307e\u3059\u30022006\u5e74\u304b\u30892017\u5e74\u306b\u8a3a\u65ad\u3055\u308c\u305f\u60a3\u8005\u306e\u30de\u30f3\u30e2\u30b0\u30e9\u30e0\u3092\u7528\u3044\u3066\u3001\u958b\u767a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u751f\u6210\u3055\u308c\u3001\u30e2\u30c7\u30eb\u306f5\u500d\u306e\u30af\u30ed\u30b9\u30d0\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u691c\u8a3c\u304c\u884c\u308f\u308c\u307e\u3057\u305f\u3002\u72ec\u7acb\u3057\u305f\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u306e\u53d7\u5bb9\u4f53\u3054\u3068\u306e\u66f2\u7dda\u4e0b\u9762\u7a4d\uff08AUC\uff09\u306f\u3001ER\u3001PgR\u3001HER2\u305d\u308c\u305e\u308c\u3067\u6709\u671b\u306a\u7d50\u679c\u3092\u793a\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u975e\u4fb5\u8972\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u308b\u4e73\u304c\u3093\u306e\u5206\u985e\u4e88\u6e2c\u306b\u306f\u3001\u60a3\u8005\u306b\u3068\u3063\u3066\u306e\u4ed8\u52a0\u4fa1\u5024\u304c\u3042\u308a\u307e\u3059\u3002\u5f0a\u793e\u306eAI\u6280\u8853\u306f\u3001\u3053\u306e\u3088\u3046\u306a\u8a3a\u65ad\u30b5\u30dd\u30fc\u30c8\u30c4\u30fc\u30eb\u306e\u4f5c\u6210\u306b\u5bc4\u4e0e\u3057\u3001\u533b\u7642\u5206\u91ce\u306b\u304a\u3051\u308bAI\u306e\u53ef\u80fd\u6027\u3092\u62e1\u5f35\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u672c\u6587\u3078\u306e<a href=\"https:\/\/doi.org\/10.1200\/PO.20.00176\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1200\/PO.20.00176\">\u30ea\u30f3\u30af<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\u63b2\u8f09\u30b8\u30e3\u30fc\u30ca\u30eb<\/h3>\n\n\n\n<p>PLOS One<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u6982\u8981<\/h3>\n\n\n\n<p>\u5f0a\u793e\u306f\u3001\u30de\u30f3\u30e2\u30b0\u30e9\u30d5\u30a3\u30fc\u306b\u304a\u3051\u308b\u4e73\u304c\u3093\u306e\u691c\u51fa\u3092\u76ee\u7684\u3068\u3057\u305f\u5148\u9032\u7684\u306a\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u958b\u767a\u3068\u691c\u8a3c\u3092\u652f\u63f4\u3057\u307e\u3057\u305f\u30022006\u5e74\u304b\u30892017\u5e74\u306b\u304b\u3051\u3066\u5927\u962a\u5e02\u7acb\u5927\u5b66\u75c5\u9662\u3068Medcity21\u30af\u30ea\u30cb\u30c3\u30af\u3067\u53ce\u96c6\u3055\u308c\u305f\u30de\u30f3\u30e2\u30b0\u30e9\u30e0\u3092\u4f7f\u7528\u3057\u3001RetinaNet\u3092\u542b\u3080DL\u30d9\u30fc\u30b9\u306e\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u30fb\u691c\u8a3c\u3059\u308b\u305f\u3081\u306b\u3001\u75c5\u9662\u306e\u958b\u767a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304a\u3088\u3073\u30c7\u30b8\u30bf\u30eb\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u30de\u30f3\u30e2\u30b0\u30e9\u30d5\u30a3\u30fc\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff08DDSM\uff09\u3092\u7528\u3044\u307e\u3057\u305f\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u5916\u90e8\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u306e\u691c\u8a3c\u306b\u304a\u3044\u3066\u3001\u5168\u3066\u306e\u304c\u3093\u3092\u975e\u5e38\u306b\u4f4e\u3044\u5e73\u5747\u507d\u967d\u6027\u6307\u6a19\uff08mFPI\uff09\u3067\u691c\u51fa\u3057\u3001\u4e21\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u90e8\u5206\u7684\u306a\u66f2\u7dda\u4e0b\u9762\u7a4d\uff08AUC\uff090.93\u3092\u9054\u6210\u3057\u307e\u3057\u305f\u3002\u5f0a\u793e\u306e\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u3001\u4e73\u304c\u3093\u8a3a\u65ad\u306e\u5411\u4e0a\u306b\u8ca2\u732e\u3059\u308b\u53ef\u80fd\u6027\u3092\u793a\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u672c\u6587\u3078\u306e<a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0265751\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1371\/journal.pone.0265751\">\u30ea\u30f3\u30af<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5f0a\u793e\u306e\u652f\u63f4\u3057\u305f\u6280\u8853\u306e\u4e00\u90e8\u3092\u627f\u8afe\u3092\u5f97\u305f\u4e0a\u3067\u63b2\u8f09\u3057\u307e\u3059\u3002\u3044\u305a\u308c\u306e\u8ad6\u6587\u3067\u3082\u8b1d\u8f9e(Acknowledgement)\u306b\u3066\u4ee3\u8868\u3067\u3042\u308b\u732a\u4fe3\u5145\u592e\u304c\u7d39\u4ecb\u3055\u308c\u3066\u3044\u307e\u3059\u3002 Deep Learning\u2013based Angiogram Gener [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/one-column.php","meta":{"footnotes":"","wp-seo-meta-description":"","wp-seo-meta-robots":[]},"_links":{"self":[{"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=\/wp\/v2\/pages\/62"}],"collection":[{"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=62"}],"version-history":[{"count":6,"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=\/wp\/v2\/pages\/62\/revisions"}],"predecessor-version":[{"id":70,"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=\/wp\/v2\/pages\/62\/revisions\/70"}],"wp:attachment":[{"href":"https:\/\/deeprad.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=62"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}