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¿µ¹®Ç¥Áظí Establishment of Data for Artificial Intelligence Learning for the Development of Diagnostic-aid Model : Pathological image
Çѱ۳»¿ë¿ä¾à ÀÌ Ç¥ÁØÀº Áø´Ü º¸Á¶ ÀΰøÁö´É ¸ðµ¨ °³¹ßÀ» À§ÇÏ¿© µðÁöÅÐ º´¸® À̹ÌÁö µ¥ÀÌÅÍ¿Í ÀÓ»ó Á¤º¸ÀÎ ¸ÞŸµ¥ÀÌÅ͸¦ ÀΰøÁö´É ÇнÀ¿ë µ¥ÀÌÅÍ·Î È°¿ëÇϱâ À§ÇÑ ±¸Ãà ¹æ¾ÈÀ» Á¦½ÃÇÑ´Ù. ¿©·¯ Æ÷¸ËÀ¸·Î »ý¼ºµÇ´Â º´¸® À̹ÌÁö¿¡ ´ëÇÑ Ç¥ÁØÈ­¸¦ ¼öÇàÇÑ ÈÄ, °³ÀÎ Á¤º¸ º¸È£¸¦ À§ÇØ À̹ÌÁö µ¥ÀÌÅÍ¿Í ¸ÞŸµ¥ÀÌÅÍ ¸ðµÎ ºñ½Äº°È­¸¦ ÁøÇàÇÑ´Ù. À̹ÌÁö µ¥ÀÌÅÍ¿¡¼­ º´º¯ ¾î³ëÅ×À̼ǰú tilingÀ» ÁøÇàÇÑ ÈÄ ÇнÀ¿ë µ¥ÀÌÅÍ ÀûÇÕ¼ºÀ» °ËÁõÀ» ½ÃÇàÇÑ´Ù. ÃÖÁ¾ »êÃâ¹°ÀÎ À̹ÌÁö µ¥ÀÌÅÍ¿Í ºñ½Äº°È­ÇÑ ¸ÞŸµ¥ÀÌÅÍ´Â ÀΰøÁö´É ÇнÀ¿ë µ¥ÀÌÅͷνá È°¿ëÇÒ ¼ö ÀÖ´Ù
¿µ¹®³»¿ë¿ä¾à This standard proposes a construction plan to utilize digital pathological image data and clinical information metadata as AI data to develop a diagnostic-aid AI model. After standardizing pathological images generated in various formats, image data and metadata are de-identified to protect personal information. After proceeding with lesion annotation and tiling with image data, the suitability of learning data is verified. Image data and unidentified metadata as final products can be used as data for artificial intelligence learning.
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