{"id":7345,"date":"2022-09-16T16:48:00","date_gmt":"2022-09-16T08:48:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=7345"},"modified":"2022-09-07T14:58:29","modified_gmt":"2022-09-07T06:58:29","slug":"dataseg","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2022\/09\/16\/dataseg\/","title":{"rendered":"\u533b\u5b66\u5206\u5272\u56fe\u50cf\u6570\u636e\u96c6\u6c47\u603b"},"content":{"rendered":"\n

\uff08\u66f4\u591a\u6570\u636e\u96c6\u8bf7\u770b<\/strong>\uff09\u533b\u5b66\u5f71\u50cf\u6570\u636e\u96c6\u96c6\u9526\uff1ahttps:\/\/github.com\/linhandev\/dataset<\/a><\/strong><\/p>\n\n\n\n

\u6570\u636e\u96c6<\/td>\u6570\u636e\u96c6\u5927\u5c0f <\/td>\u8bf4\u660e<\/td> \u94fe\u63a5<\/td><\/tr>
Kvasir-SEG<\/td>1000 \u5f20\uff08\u5bf9\uff09<\/td>Kvasir-seg\u662f \u80c3\u80a0\u9053\u606f\u8089\u56fe\u50cf\u548c\u76f8\u5e94\u5206\u5272\u9762\u7f69\u7684\u5f00\u653e\u5f0f\u6570\u636e\u96c6\uff0c\u7531\u533b\u751f\u624b\u52a8\u6ce8\u91ca\uff0c\u7136\u540e\u7531\u7ecf\u9a8c\u4e30\u5bcc\u7684\u80c3\u80a0\u75c5\u5b66\u5bb6\u8fdb\u884c\u9a8c\u8bc1\u3002Kvasir-SEG \u6570\u636e\u96c6\uff08\u5927\u5c0f 46.2 MB\uff09\u5305\u542b\u6765\u81ea Kvasir Dataset v2 \u7684 1000 \u4e2a\u606f\u8089\u56fe\u50cf\u53ca\u5176\u5bf9\u5e94\u7684\u5730\u9762\u5b9e\u51b5\u3002Kvasir-SEG \u4e2d\u5305\u542b\u7684\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u4ece 332×487 \u5230 1920×1072 \u50cf\u7d20\u4e0d\u7b49\u3002<\/td>https:\/\/datasets.s
imula.no\/kvasir-seg\/<\/td><\/tr>
CVC-ClinicDB<\/td>600\u5f20<\/td>CVC-ClinicDB \u662f\u4ece\u7ed3\u80a0\u955c\u68c0\u67e5\u89c6\u9891\u4e2d\u63d0\u53d6\u7684\u5e27\u6570\u636e\u5e93\u3002CVC-ClinicDB \u6570\u636e\u5e93\u7531\u4e24\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u56fe\u50cf\u7ec4\u6210\uff1a\u539f\u59cb\u56fe\u50cf\u548c\u606f\u8089\u63a9\u819c  <\/td>https:\/\/polyp.grand-cha
llenge.org\/CVCClinicDB\/<\/td><\/tr>
CVC-ColonDB<\/td>300\u5f20<\/td>\u7ed3\u80a0\u955c\u68c0\u67e5\u89c6\u9891\u7684\u6ce8\u91ca\u89c6\u9891\u5e8f\u5217\u3002\u5b83\u5305\u542b 15 \u4e2a\u7b80\u77ed\u7684\u7ed3\u80a0\u955c\u68c0\u67e5\u5e8f\u5217\uff0c\u6765\u81ea 15 \u9879\u4e0d\u540c\u7684\u7814\u7a76\u3002\u5728\u6bcf\u4e2a\u5e8f\u5217\u4e2d\u663e\u793a\u4e00\u4e2a\u606f\u8089\u3002<\/td> <\/td><\/tr>
Synapse multi-organ CT<\/td>50<\/td>\u4ece\u6b63\u5728\u8fdb\u884c\u7684\u7ed3\u76f4\u80a0\u764c\u5316\u7597\u8bd5\u9a8c\u548c\u56de\u987e\u6027\u8179\u759d\u7814\u7a76\u7684\u7ec4\u5408\u4e2d\u968f\u673a\u9009\u62e9\u4e86 50 \u4efd\u8179\u90e8 CT \u626b\u63cf\u300250 \u6b21\u626b\u63cf\u662f\u5728\u95e8\u9759\u8109\u9020\u5f71\u9636\u6bb5\u6355\u83b7\u7684\uff0c\u5177\u6709\u53ef\u53d8\u7684\u4f53\u79ef\u5927\u5c0f (512 x 512 x 85 – 512 x 512 x 198) \u548c\u89c6\u573a\uff08\u7ea6 280 x 280 x 280 mm 3 – 500 x 500 x 650 mm 3\uff09 . \u5e73\u9762\u5185\u5206\u8fa8\u7387\u4ece 0.54 x 0.54 mm 2\u5230 0.98 x 0.98 mm 2\u4e0d\u7b49\uff0c\u800c\u5207\u7247\u539a\u5ea6\u8303\u56f4\u4ece 2.5 mm \u5230 5.0 mm\u3002\u6807\u51c6\u6ce8\u518c\u6570\u636e\u7531NiftyReg\u751f\u6210\u3002<\/td>https:\/\/www.syn
apse.org\/#!Synapse:syn3193805\/wiki\/217789<\/td><\/tr>
MoNuSeg<\/td>22,000\u5f20<\/td>\u6570\u636e\u96c6\u662f\u901a\u8fc7\u4ed4\u7ec6\u6ce8\u91ca\u51e0\u540d\u60a3\u6709\u4e0d\u540c\u5668\u5b98\u80bf\u7624\u5e76\u5728\u591a\u5bb6\u533b\u9662\u88ab\u8bca\u65ad\u51fa\u7684\u60a3\u8005\u7684\u7ec4\u7ec7\u56fe\u50cf\u83b7\u5f97\u7684\u3002\u8be5\u6570\u636e\u96c6\u662f\u901a\u8fc7\u4eceTCGA\u5b58\u6863\u4e0b\u8f7d\u4ee5 40 \u500d\u653e\u5927\u500d\u7387\u6355\u83b7\u7684 H&E \u67d3\u8272\u7ec4\u7ec7\u56fe\u50cf\u521b\u5efa\u7684\u3002H&E \u67d3\u8272\u662f\u589e\u5f3a\u7ec4\u7ec7\u5207\u7247\u5bf9\u6bd4\u5ea6\u7684\u5e38\u89c4\u65b9\u6848\uff0c\u901a\u5e38\u7528\u4e8e\u80bf\u7624\u8bc4\u4f30\uff08\u5206\u7ea7\u3001\u5206\u671f\u7b49\uff09\u3002\u8003\u8651\u5230\u591a\u4e2a\u5668\u5b98\u548c\u60a3\u8005\u7684\u7ec6\u80de\u6838\u5916\u89c2\u7684\u591a\u6837\u6027\uff0c\u4ee5\u53ca\u591a\u5bb6\u533b\u9662\u91c7\u7528\u7684\u4e30\u5bcc\u67d3\u8272\u65b9\u6848\uff0c\u8bad\u7ec3\u6570\u636e\u96c6\u5c06\u80fd\u591f\u5f00\u53d1\u51fa\u5f3a\u5927\u4e14\u53ef\u63a8\u5e7f\u7684\u7ec6\u80de\u6838\u5206\u5272\u6280\u672f\uff0c\u5f00\u7bb1\u5373\u7528\u3002<\/td>https:\/\/monuseg.gr
and-challenge.org\/Data\/<\/td><\/tr>
\u80f0\u817a\u5206\u5272\u6570\u636e\u96c6<\/td> <\/td>\u7f8e\u56fd\u56fd\u7acb\u536b\u751f\u7814\u7a76\u9662\u4e34\u5e8a\u4e2d\u5fc3\u5bf9 53 \u540d\u7537\u6027\u548c 27 \u540d\u5973\u6027\u53d7\u8bd5\u8005\u8fdb\u884c\u4e86 82 \u6b21\u8179\u90e8\u5bf9\u6bd4\u589e\u5f3a 3D CT \u626b\u63cf\uff08\u95e8\u9759\u8109\u9759\u8109\u6ce8\u5c04\u5bf9\u6bd4\u5242\u540e\u7ea6 70 \u79d2\uff09\u300217 \u540d\u53d7\u8bd5\u8005\u662f\u5728\u80be\u5207\u9664\u672f\u524d\u626b\u63cf\u7684\u5065\u5eb7\u80be\u810f\u6350\u8d60\u8005\u3002\u5176\u4f59 65 \u540d\u60a3\u8005\u7531\u653e\u5c04\u79d1\u533b\u5e08\u4ece\u65e2\u65e0\u91cd\u5927\u8179\u90e8\u75c5\u53d8\u4e5f\u65e0\u80f0\u817a\u764c\u75c5\u53d8\u7684\u60a3\u8005\u4e2d\u9009\u51fa\u3002\u53d7\u8bd5\u8005\u7684\u5e74\u9f84\u8303\u56f4\u4e3a 18 \u81f3 76 \u5c81\uff0c\u5e73\u5747\u5e74\u9f84\u4e3a 46.8 \u00b1 16.7\u3002CT \u626b\u63cf\u5177\u6709 512×512 \u50cf\u7d20\u7684\u5206\u8fa8\u7387\uff0c\u5177\u6709\u4e0d\u540c\u7684\u50cf\u7d20\u5927\u5c0f\u548c 1.5 – 2.5 mm \u4e4b\u95f4\u7684\u5207\u7247\u539a\u5ea6\uff0c\u5728 Philips \u548c Siemens MDCT \u626b\u63cf\u4eea\uff08120 kVp \u7ba1\u7535\u538b\uff09\u4e0a\u83b7\u5f97\u3002<\/td> http:\/\/academictorre
nts.com\/details\/80ecfefc
abede760cdbdf63e38986501f7becd49<\/td><\/tr>
MICCAI\u80f0\u817a\u5206\u5272\u6570\u636e\u96c6<\/td>282<\/td>\u76ee\u6807\uff1a\u809d\u810f\u548c\u80bf\u7624 \u6a21\u5f0f\uff1a\u95e8\u9759\u8109\u671f CT \u5927\u5c0f\uff1a 420 3D \u5377\uff08282 \u57f9\u8bad +139 \u6d4b\u8bd5\uff09 \u6765\u6e90\uff1a\u7eaa\u5ff5\u65af\u9686\u51ef\u7279\u7433\u764c\u75c7\u4e2d\u5fc3 \u6311\u6218\uff1a\u6807\u7b7e\u4e0d\u5e73\u8861\u4e0e\u5927\uff08\u80cc\u666f\uff09\u3001\u4e2d\uff08\u80f0\u817a\uff09\u548c\u5c0f\uff08\u80bf\u7624\uff09\u7ed3\u6784<\/td>https:\/\/drive.google.com
\/drive\/folders\/1HqEgzS8BV2
c7xYNrZdEAnrHk7osJJ–2<\/td><\/tr>
LiTS\u809d\u810f\u5206\u5272\u6570\u636e\u96c6<\/td>131+70<\/td>LiTS\u6570\u636e\u96c6\u5305\u542b131\u7ec4\u8bad\u7ec3\u626b\u63cf\u548c70\u7ec4\u6d4b\u8bd5\u626b\u63cf\uff0c\u5176\u4e2d70\u7ec4\u6d4b\u8bd5\u6570\u636e\u6807\u7b7e\u4e0d\u516c\u5f00\u3002LiTS\u8bad\u7ec3\u96c6\u4e2d\u5305\u542b3DIRCADB<\/a>\u4e2d\u7684\u6240\u6709\u6570\u636e\uff0c\u6240\u4ee5\u4e0d\u8981\u5408\u5e76\u8fd9\u4e24\u4e2a\u6570\u636e\u96c6\u3002Medical Segmentation Decathlon\u4e2d\u809d\u810f\u5206\u5272\u7684\u6570\u636e\u96c6\u5c31\u662fLiTS\u3002<\/td>https:\/\/sliver07.gran
d-challenge.org\/<\/td><\/tr>
covid19-ct-scans<\/td>20<\/td>\u6570\u636e\u6765\u81eaIeee8023\uff0c\u5bf920\u7ec4\u626b\u63cf\u8fdb\u884c\u4e86\u5de6\u53f3\u80ba\u548c\u611f\u67d3\u533a\u7684\u6807\u6ce8\u3002<\/td>https:\/\/www.kaggle.co
m\/andrewmvd\/covid19-ct-scans<\/td><\/tr>
Medical Segmentation Decathlon<\/td>2,633<\/td>\u533b\u5b66\u5206\u5272\u5341\u9879\u5168\u80fd\u662f\u533b\u5b66\u56fe\u50cf\u5206\u5272\u6570\u636e\u96c6\u7684\u96c6\u5408\u3002\u5b83\u603b\u5171\u5305\u542b 2,633 \u5f20\u4e09\u7ef4\u56fe\u50cf\uff0c\u8fd9\u4e9b\u56fe\u50cf\u662f\u4ece\u591a\u4e2a\u611f\u5174\u8da3\u7684\u89e3\u5256\u7ed3\u6784\u3001\u591a\u79cd\u6a21\u5f0f\u548c\u591a\u4e2a\u6765\u6e90\u6536\u96c6\u7684\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u5b83\u5305\u542b\u4ee5\u4e0b\u8eab\u4f53\u5668\u5b98\u6216\u90e8\u4f4d\u7684\u6570\u636e\uff1a\u5927\u8111\u3001\u5fc3\u810f\u3001\u809d\u810f\u3001\u6d77\u9a6c\u4f53\u3001\u524d\u5217\u817a\u3001\u80ba\u3001\u80f0\u817a\u3001\u809d\u8840\u7ba1\u3001\u813e\u810f\u548c\u7ed3\u80a0\u3002<\/td>http:\/\/medicald
ecathlon.com\/<\/td><\/tr>
GlaS<\/td>165<\/td>GlaS\u00a0
\uff08
\u7ed3\u80a0\u7ec4\u7ec7\u5b66\u56fe\u50cf\u6311\u6218\u4e2d\u7684\u817a\u4f53\u5206\u5272
\uff09<\/strong>\u672c\u6b21\u6311\u6218\u4e2d\u4f7f\u7528\u7684\u6570\u636e\u96c6\u5305\u542b 165 \u5f20\u56fe\u50cf\uff0c\u8fd9\u4e9b\u56fe\u50cf\u6765\u81ea T3 \u6216 T42 \u671f\u7ed3\u76f4\u80a0\u817a\u764c\u7684 16 \u4e2a H&E \u67d3\u8272\u7ec4\u7ec7\u5207\u7247\u3002
\u6bcf\u4e2a\u5207\u7247\u5c5e\u4e8e\u4e0d\u540c\u7684\u60a3\u8005\uff0c\u5207\u7247\u662f\u5728\u5b9e\u9a8c\u5ba4\u7684\u4e0d\u540c\u573a\u5408\u5904\u7406\u7684\u3002
\u56e0\u6b64\uff0c\u8be5\u6570\u636e\u96c6\u5728\u67d3\u8272\u5206\u5e03\u548c\u7ec4\u7ec7\u7ed3\u6784\u65b9\u9762\u8868\u73b0\u51fa\u5f88\u9ad8\u7684\u53d7\u8bd5\u8005\u95f4\u53d8\u5f02\u6027\u3002
\u4f7f\u7528\u50cf\u7d20\u5206\u8fa8\u7387\u4e3a 0.465\u00b5m \u7684 Zeiss MIRAX MIDI \u5e7b\u706f\u7247\u626b\u63cf\u4eea\u5c06\u8fd9\u4e9b\u7ec4\u7ec7\u5207\u7247\u6570\u5b57\u5316\u4e3a\u5168\u5e7b\u706f\u7247\u56fe\u50cf (WSI)\u3002<\/td>		https:\/\/warwick.ac.uk\/fac\/cross_fac\/tia\/data\/glascontest\/<\/td><\/tr>
2018 Data Science Bowl<\/td><\/td>\u8be5\u6570\u636e\u96c6\u5305\u542b\u5927\u91cf\u5206\u5272\u7684\u6838\u56fe\u50cf\u3002
\u8fd9\u4e9b\u56fe\u50cf\u662f\u5728\u5404\u79cd\u6761\u4ef6\u4e0b\u83b7\u5f97\u7684\uff0c\u5e76\u4e14\u5728\u7ec6\u80de\u7c7b\u578b\u3001\u653e\u5927\u500d\u7387\u548c\u6210\u50cf\u65b9\u5f0f\uff08\u660e\u573a\u4e0e\u8367\u5149\uff09\u65b9\u9762\u6709\u6240\u4e0d\u540c\u3002
\u8be5\u6570\u636e\u96c6\u65e8\u5728\u6311\u6218\u7b97\u6cd5\u6cdb\u5316\u8fd9\u4e9b\u53d8\u5316\u7684\u80fd\u529b\u3002<\/td>		\u51fa\u81eaUNet++: A Nested U-Net Architecture for Medical Image Segmentation<\/a>
https:\/\/www.kaggle.com\/c\/data-science-bowl-2018\/overview<\/td><\/tr>
ACDC<\/td>150<\/td>\u8be5\u6570\u636e\u96c6\u7531 150 \u4e2a\u68c0\u67e5\uff08\u5168\u90e8\u6765\u81ea\u4e0d\u540c\u7684\u60a3\u8005\uff09\u7ec4\u6210\uff0c\u5206\u4e3a 5 \u4e2a\u5747\u5300\u5206\u5e03\u7684\u4e9a\u7ec4\uff084 \u4e2a\u75c5\u7406\u7ec4\u548c 1 \u4e2a\u5065\u5eb7\u53d7\u8bd5\u8005\u7ec4\uff09\uff0c\u5982\u4e0b\u6240\u8ff0\u3002
\u6b64\u5916\uff0c\u6bcf\u4f4d\u60a3\u8005\u90fd\u9644\u5e26\u4ee5\u4e0b\u9644\u52a0\u4fe1\u606f\uff1a\u4f53\u91cd\u3001\u8eab\u9ad8\u4ee5\u53ca\u8212\u5f20\u671f\u548c\u6536\u7f29\u671f\u77ac\u95f4\u3002<\/td>		https:\/\/acdc.creatis.insa-lyon.fr\/description\/databases.html<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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

\u53c2\u8003\uff1aMedical Image Segmentation\uff1a https:\/\/paperswithcode.com\/task\/medical-image-segmentation<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

\uff08\u66f4\u591a\u6570\u636e\u96c6\u8bf7\u770b\uff09\u533b\u5b66\u5f71\u50cf\u6570\u636e\u96c6\u96c6\u9526\uff1ahttps:\/\/github.com\/linhandev\/dataset … \u7ee7\u7eed\u9605\u8bfb\u533b\u5b66\u5206\u5272\u56fe\u50cf\u6570\u636e\u96c6\u6c47\u603b<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[24,9],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/7345"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=7345"}],"version-history":[{"count":9,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/7345\/revisions"}],"predecessor-version":[{"id":7463,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/7345\/revisions\/7463"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=7345"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=7345"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=7345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}