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\"\"<\/figure>
\n

<\/p>\n<\/div><\/div>\n\n\n\n

\u30da\u30c3\u30c8\u7528X\u7dda\u753b\u50cf\u89e3\u6790\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3000\u201cNNs-DASPet_Ver.1.0.0\u201d<\/td><\/tr>
\uff0aN<\/u>eural N<\/u>etworks<\/u> for D<\/u>etection of A<\/u>bnormal S<\/u>hadows from X-ray Images for Pet<\/u><\/em>
\uff0a\u7363\u533b\u5e2b\u53ca\u3073\u7363\u533b\u7642\u5f93\u4e8b\u8005\u306e\u7686\u69d8\u306b\u5bfe\u3057\u3066\u611f\u8b1d\u3092\u8fbc\u3081\u3066\uff0c\u9752\u8272\u306e\u300cT-iREC\u30de\u30fc\u30af\u300d\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/td><\/tr>
\uff1c\u30b5\u30fc\u30d3\u30b9\u306e\u5185\u5bb9\uff1e
\u30da\u30c3\u30c8\u306eX\u7dda\u5199\u771f\u753b\u50cf(\u62e1\u5f35\u5b50.dcm)\u306b\u304a\u3044\u3066\u300c\u7570\u5e38\u300d\u3068\u601d\u308f\u308c\u308b\u9818\u57df\u3092\u304b\u306a\u308a\u9ad8\u3044\u78ba\u7387\u3067\u691c\u51fa\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002\u7570\u5e38\u90e8\u306e\u65e9\u671f\u767a\u898b\u306f\u300c\u30da\u30c3\u30c8\u306e\u547d\u3092\u5b88\u308b\u300d\u305f\u3081\u306b\u306f\u4e0d\u53ef\u6b20\u3067\uff0c\u3088\u308a\u65e9\u671f\u306e\u767a\u898b\u306b\u3088\u3063\u3066\u6cbb\u7642\u8cbb\u3082\u5c11\u306a\u304f\uff0c\u6cbb\u7642\u671f\u9593\u3082\u77ed\u304f\uff0c\u751f\u5b58\u7387\u306f\u98db\u8e8d\u7684\u306b\u5411\u4e0a\u3059\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/td><\/tr>
\u3010\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u53d6\u6271\u8aac\u660e\u66f8\u3011
\uff11. \u306f\u3058\u3081\u306b \u3000
\u3000\u7363\u533b\u5e2b\u3084\u30da\u30c3\u30c8\u98fc\u4e3b\u306e\u7686\u69d8\u306b\uff0c\u6700\u521d\u306b\u304a\u65ad\u308a\u3057\u3066\u304a\u304d\u307e\u3059\u3002\u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2(NNs-DASPet_Ver.1.0.0)\u306f\u30da\u30c3\u30c8\u306e\u533b\u7642\u8a3a\u65ad\u7528\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002 \u3000
\u3000\u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u306f\uff0c\u512a\u308c\u305f\u7363\u533b\u5e2b\u306e\u8aad\u5f71\u6280\u8853\u3084X\u7ddaCT\u88c5\u7f6e\u304b\u3089\u306e\u7d50\u679c\u3092\u6559\u5e2b\u4fe1\u53f7\u3068\u3057\u3066\u7528\u3044\u308b\u3053\u3068\u306b\u3088\u3063\u3066\uff0c \u30da\u30c3\u30c8\u306eX\u7dda\u5199\u771f(\u753b\u50cf)\u306b\u304a\u3051\u308b\u201c\u5468\u8fba\u306eX\u7dda\u900f\u904e\u5f37\u5ea6\u5206\u5e03\u3068\u7570\u306a\u308b\u9818\u57df\u201d\u3092\u691c\u51fa\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u7363\u533b\u5e2b\u306e\u7686\u69d8\u304c\u30da\u30c3\u30c8\u306eX\u7dda\u753b\u50cf\u3092\u89e3\u6790\u3055\u308c\u308b\u5834\u5408\uff0c\u88dc\u52a9\u7684\u306a\u30c4\u30fc\u30eb\u3068\u3057\u3066\u30b7\u30b9\u30c6\u30e0\u3057\u3066\u5229\u7528\u3044\u305f\u3060\u3051\u308c\u3070\u5e78\u3044\u3067\u3059\u3002
\uff12. \u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2NNs-DASPet_Ver.1.0.0\u3068\u306f \uff0c\u6559\u5e2b\u6709\u308a\u30fb\u968e\u5c64\u578b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af(Neural Networks : \u795e\u7d4c\u56de\u8def\u7db2\u5b66)\u3092\u7528\u3044\u3066\u201c\u5468\u8fba\u306eX\u7dda\u900f\u904e\u5f37\u5ea6\u5206\u5e03\u3068\u7570\u306a\u308b\u9818\u57df\u201d\u3092\u63a2\u7d22\u3059\u308b\u3053\u3068\u201d\u306b\u7531\u6765\u3057\u307e\u3059\u3002\u8a73\u7d30\u306b\u306f\uff0cX\u7dda\u5199\u771f\u306e\u89e3\u6790\u306b\u95a2\u3059\u308b\u5b66\u8853\u7814\u7a76\u8ad6\u6587[1\uff5e3]\u4e26\u3073\u306b\u7c73\u56fd\u30d1\u30c6\u30f3\u30c8[4]\u306a\u3069\u306e\u53c2\u8003\u8cc7\u6599\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002
\u3000\u7363\u533b\u5e2b\u306e\u7686\u69d8\u306f\u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u304c\u884c\u3046\u3088\u3046\u306aX\u7dda\u5199\u771f\u3092\u89e3\u6790\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u601d\u3044\u307e\u3059\u304c\uff0c\u305d\u308c\u306b\u306f\u591a\u304f\u306e\u6642\u9593\u3068\u7d4c\u9a13\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002<\/strong>\u7363\u533b\u5e2b\u306e\u7686\u69d8\u306f\u8aad\u5f71\u6280\u8853\u306b\u95a2\u3057\u3066\uff0c\u53c2\u8003\u6587\u732e[5]\u306b\u7363\u533b\u5e2b\u306e\u7acb\u5834\u304b\u3089\u8a73\u7d30\u306b\u89e3\u8aac\u3055\u308c\u3066\u304a\u308a\u307e\u3059\u306e\u3067\uff0c\u3054\u53c2\u7167\u304f\u3060\u3055\u3044\u3002 \u3000
\u3000\u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u7528\u3044\u308b\u3068\uff0c\u201c\u3042\u308b\u304c\u307e\u307e(as it is)\u201d\u306eX\u7dda\u5199\u771f(\u753b\u50cf)\u304b\u3089\u201c\u5468\u8fba\u306eX\u7dda\u900f\u904e\u5f37\u5ea6\u5206\u5e03\u3068\u7570\u306a\u308b\u9818\u57df\u201d\u3092\u52b9\u7387\u3088\u304f\uff0c\u77ed\u6642\u9593\u3067\u767a\u898b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u00a0
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\u3000\uff38\u7dda\u5199\u771f\u306e\u64ae\u5f71\u65b9\u6cd5\u306b\u306f4\u7a2e\u985e (VD(\u8179\u80cc)\u50cf\uff0cDV(\u80cc\u8179)\u50cf\uff0c\u5de6\u30e9\u30c6\u30e9\u30eb(R\u2192L)\u50cf\uff0c\u53f3\u30e9\u30c6\u30e9\u30eb(L\u59cb\u2192R\u7d42)\uff0c)\u304c\u3042\u308a\u307e\u3059\u3002\u66f4\u306b\uff0c1\u679a\u306eX\u7dda\u5199\u771f\u306b\u306f\uff0c\u51e1\u305d2500\u00d72500\u500b\u306e\u753b\u7d20(1\u753b\u7d20\u306e\u5927\u304d\u3055\u306f0.15\uff5e0.2\u339c)\u304b\u3089\u306a\u3063\u3066\u304a\u308a\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u3053\u3068\u3082\u307e\u305f\uff0c\u7363\u533b\u5e2b\u304c\u30da\u30c3\u30c8\u306e\uff38\u7dda\u5199\u771f\u3092\u8aad\u5f71\u3059\u308b\u3053\u3068\u3092\u56f0\u96e3\u3068\u3057\u3066\u3044\u308b\u7406\u7531\u306e1\u3064\u3067\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002
\uff14. \u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u6d3b\u7528\u6cd5 \u3000
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\u3010\u6ce8\u610f\u4e8b\u9805\u3011 \u3000\u672c\u8cc7\u6599\u306f\u51fa\u7248\u5143\u3231\u30c6\u30a3\u30fc\u30a2\u30a4\u30ec\u30c3\u30af\u306e\u8a31\u53ef\u306a\u304f\uff0c\u4fee\u6b63\u30fb\u5909\u66f4\u53ca\u3073\u8907\u5199\u306f\u3057\u3066\u306f\u306a\u3089\u306a\u3044\u3002
\u3010\u53c2\u8003\u6587\u732e\uff06\u7814\u7a76\u696d\u7e3e\u3011
[1] S.Kishida et. al. : \u201d Ensemble Learning in Systems of Neural Networks for Detection of Abnormal Shadows from X-ray Images of Lungs \u201d, Journal of Signal Processing, Vol.16, No.4, pp.343-346,July 2012.
[2] \u5cb8\u7530 \u609f\u4ed6\uff1a\u201d\u80f8\u90e8X\u7dda\u753b\u50cf\u306b\u304a\u3051\u308b\u80ba\u304c\u3093\u691c\u51fa\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u3068\u9ad8\u6027\u80fd\u5316\u201d, Journal of Signal Processing, Vol.22, No.3, pp.109-120, May 2018.
[3] \u5cb8\u7530 \u609f\uff1a\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u30fb\u65e5\u672c\u5148\u5236\u81e8\u5e8a\u533b\u5b66\u4f1a \u7b2c4\u56de\u5b66\u8853\u5927\u4f1a(2021\u5e7411\u670820,21\u65e5), (\u4f1a\u5834)\u5927\u5d0e\u30d6\u30e9\u30a4\u30c8\u30b3\u30a2\u30db\u30fc\u30eb(\u6771\u4eac\u90fd\u54c1\u5ddd\u533a\u5317\u54c1\u5ddd5\u4e01\u76ee5\u756a15\u53f7, (\u5927\u4f1a\u30c6\u30fc\u30de)\u65b0\u6642\u4ee3\u306e\u5148\u5236\u533b\u7642(\u4e16\u754c\u3078\u767a\u4fe1\u3059\u308b\u5148\u5236\u81e8\u5e8a), (\u8b1b\u6f14\u6642\u9593) \u5b66\u8853\u5927\u4f1a1\u65e5\u76ee\uff0c11\u670820\u65e5\uff08\u571f\uff0914\u664250\u5206\uff5e15\u664220\u5206, (\u8b1b\u6f14\u984c\u76ee)\u201c\u77e5\u3068\u5b9f\u8df5\u306e\u878d\u5408\u201d\u306b\u57fa\u3065\u3044\u305f\u533b\u5de5\u9023\u643a\u306e\u53d6\u7d44\u307f\uff0d\u80f8\u90e8X\u7dda\u5199\u771f\u306b\u304a\u3051\u308b\u7570\u5e38\u90e8\u306e\u691c\u51fa\u306a\u3069\uff0d\u201d.
[4] United States Patent : \u7279\u8a31\u756a\u53f7(8,798,345)\uff0c\u7279\u8a31\u4ed8\u4e0e\u65e5(2014\u5e748\u67085\u65e5)\uff0c\u51fa\u9858\u756a\u53f7(13\/496,391)\uff0c\u539f\u51fa\u9858\u65e5(2010\u5e748\u670816\u65e5)\uff0c\u512a\u5148\u6a29\u4e3b\u5f35\u306e\u57fa\u790e\u51fa\u9858(2009\u5e74\u7b2c215843\u53f7)
[5] \u83ef\u5712 \u7a76\uff0c\u76e3\u4fee\u300c\u4e2d\u51fa \u54f2\u4e5f\u300d\uff0c\u7dd1\u66f8\u623f\uff0c\u300c\u75c7\u4f8b\u3067\u898b\u308b\u3000\u72ac\u3068\u732b\u306e\u80f8\u90e8\u30fb\u8179\u90e8X\u7dda\u8aad\u5f71\u300d<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

\u30da\u30c3\u30c8\u7528X\u7dda\u753b\u50cf\u89e3\u6790\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3000\u201cNNs-DASPet_Ver.1.0.0\u201d \uff0aNeural Networks for Detection of Abnormal Shadows from X-ray Images f … \u7d9a\u304d\u3092\u8aad\u3080 \u30da\u30c3\u30c8X\u7dda\u6295\u5f71\u753b\u50cf\u30fb\u89e3\u6790\u30bd\u30d5\u30c8<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-75","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=\/wp\/v2\/pages\/75","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=75"}],"version-history":[{"count":12,"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=\/wp\/v2\/pages\/75\/revisions"}],"predecessor-version":[{"id":305,"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=\/wp\/v2\/pages\/75\/revisions\/305"}],"wp:attachment":[{"href":"https:\/\/www.skp-tirec.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=75"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}