24.11.22 (±Ý) 06:53

Dailypharm

  • Çà»ç & µ¿Á¤
    • [µ¿Á¤] Á¶Çö¿õ ±³¼ö, ¾ÏÇÐȸ Merit Award Çмú»ó ¼ö»ó
      Á¶Çö¿õ °í´ë±¸·Îº´¿ø »êºÎÀΰú ±³¼ö°¡ ÃÖ±Ù ´ëÇѾÏÇÐȸ Ãá°èÇмú´ëȸ¿¡¼­ Merit AwardÀ» ¼ö»óÇß´Ù. Merit Award Çмú»óÀº ´ëÇѾÏÇÐȸ Çмú´ëȸ¿¡¼­ ¹ßÇ¥µÇ´Â ¾à 1,000ÆíÀÇ ³í¹® ÃÊ·Ï Áß ¿¬±¸ ³»¿ëÀÌ Âü½ÅÇÏ°í ÇâÈÄ ¾ÏȯÀÚ Áø´Ü ¹× Ä¡·á¿¡ ±â¿©ÇÒ ¼ö ÀÖ´Â ¿ì¼ö ¿¬Á¦¸¦ ¼±Á¤ÇØ ¼ö¿©ÇÏ´Â »óÀÌ´Ù. Á¶ ±³¼ö´Â ¡®³­¼Ò¾ÏÀÇ Á¤È®ÇÑ Áø´ÜÀ» À§ÇÑ °ñ¹Ý ÃÊÀ½ÆÄ ±â¹Ý µö·¯´× ¸ðµ¨¿¬±¸¡¯(Pelvic ultrasound-based deep learning models for accurate diagnosis of ovarian cancer: retrospective multicenter study)¶ó´Â ÁÖÁ¦·Î ¼ö»óÀÇ ¿µ¿¹¸¦ ¾È¾Ò´Ù.
      ÀԷ½ð£ : 2024-07-25 08:40:33
ÀÎÅͳݽŹ®µî·Ï¹øÈ£: ¼­¿ï,¾Æ52715 | µî·ÏÀÏÀÚ 2019.11.20 | ¹ßÇàÀÏÀÚ 2019.11.20 | ¹ßÇàÀÎ : ÀÌÁ¤¼® | ÆíÁýÀÎ : °¡ÀÎÈ£
¹ßÇàÁÖ¼Ò: ¼­¿ï½Ã ¼ÛÆı¸ ¹ý¿ø·Î 128 ¹®Á¤ SK V1 GL ¸ÞÆ®·Î½ÃƼ Aµ¿ 401È£
ÀüÈ­ : 02-3473-0833 |Æѽº : 02-3474-0169 | û¼Ò³âº¸È£Á¤Ã¥(Ã¥ÀÓÀÚ °­½Å±¹)
Contact dailypharm@dailypharm.com for more information
µ¥Àϸ®ÆÊÀÇ ¸ðµç ÄÜÅÙÃ÷(±â»ç)¸¦ ¹«´Ü »ç¿ëÇÏ´Â °ÍÀº ÀúÀ۱ǹý¿¡ ÀúÃ˵Ǹç, ¹ýÀû Á¦À縦 ¹ÞÀ» ¼ö ÀÖ½À´Ï´Ù.