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±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 10:10~10:30 Liquid Biopsy before and after RT as predictors ³ëÀç¸í(»ï¼º¼¿ïº´¿ø)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 10:30~10:50 New novel biomarkers study in RT field ÀÌÁÖÈ£(¼¿ï´ëº´¿ø)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 10:50~11:10 Radiomics of post-radiation change evaluation ÀÌÈ£¿¬(»ï¼º¼¿ïº´¿ø)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 11:10~11:30 Accumulated knowledge of molecular imaging ÇϽ±Õ(¼¿ï¼º¸ðº´¿ø)
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Åä·Ð 10¿ù 30ÀÏ Çì¶óȦ 13:00~14:40 Oral presentation II ()
ÈÞ½Ä 10¿ù 30ÀÏ Çì¶óȦ 14:40~15:00 Coffee break ()
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 15:00~15:15 AI-based auto-segmentation: clinical aspects ±èÇмö(±¹¸²¾Ï¼¾ÅÍ)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 15:15~15:30 AI-based auto-segmentation: research aspects ±èÁø¼º(¿¬¼¼´ëº´¿ø)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 15:30~15:50 AI-based imaging conversion between CT and MRI ¾ÈÇöÁØ(¼¿ï´ëº´¿ø)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 15:50~16:10 AI-based cone beam CT image improving Á¶½Â·æ(KAIST)
±³À°½Ã°£ 10¿ù 30ÀÏ Çì¶óȦ 16:10~16:30 The weak point of AI-Models in medical Imaging ±èÈÖ¿µ(¿¬¼¼´ë)
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