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±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 08:00~08:22 Cystic lung diseases ȲÁ¤È(¼øõÇâÀÇ´ë ¼¿ïº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 08:22~08:44 Radiologic patterns of pulmonary vasculitis ±èÀ±°æ(»ï¼º¼¿ïº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 08:44~09:06 Large and small airway diseases ±èÁöÇ×(ºÐ´ç¼¿ï´ëº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 09:06~09:30 Nodule pattern and differential diagnosis ±èÁ¤ÀÓ(°µ¿°æÈñ´ëº´¿ø)
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±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 10:00~10:10 Lung cancer detection performance of a deep-learning algorithm on chest radiographs in a large-scale routine health screening populatio ÀÌÁ¾Çõ(¼¿ï´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 10:10~10:20 Detection and localization of referable thoracic abnormalities on chest radiographs using deep learning algorithm: Multicenter outpatient respiratory clinics cohort Áø±¤³²(¼¿ïƯº°½Ãº¸¶ó¸Åº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 10:20~10:30 COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system ȲÀÇÁø(¼¿ï´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 10:30~10:40 Standalone and human-integrated performance of deep learning-based automatic lung nodule detection and categorization for lung cancer screening: Experience in the korean lung cancer screening cohort ±è´Ù¼Ø(ÀÎÁ¦´ëÇб³ ºÎ»ê¹éº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 10:40~10:50 Accuracy of deep-learning based reconstructions for solid and subsolid nodule volumetry in extremely low dose chest CT. °ûÁ¤ÈÆ(°í·Á´ë ¾È»êº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 10:50~11:00 Preoperative CT-based deep learning model for the prediction of visceral pleural invasion in lung cancer: Assessment with multiple operating points ÃÖÇý¿ø(¼¿ï´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 11:00~11:10 Radiologic-pathologic correlation of interstitial lung abnormalities (ILAs) and risk factors for progression and survival ä±ÝÁÖ(ÀüºÏ´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 11:10~11:20 Minimization of image variation of chest CT with different vendor and radiation dose by multi-domain conditional generative adversarial network style conversion: Effect on quantification of ILD ȲÇýÀü(¿ï»êÀÇ´ë ¼¿ï¾Æ»êº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 11:20~11:30 Aiding diagnosis of interstitial lung disease applying content-based image retrieval (CBIR) of similar CTs with confirmed diagnosis based on extent and distribution of regional disease pattern ÃÖÁÖ¾Ö(¼¿ï¾Æ»êº´¿ø)
ÈÞ½Ä 09¿ù 18ÀÏ 11:30~11:50 Break ()
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 101-105, 1F 11:50~12:40 Consilience in chest radiology: My perspectives À̱Ⳳ(µ¿¾Æ´ëÇб³ ÀÇ°ú´ëÇÐ)
ÈÞ½Ä 09¿ù 18ÀÏ Grand Ballroom 101-105, 1F 12:40~12:50 Break ()
½Ä»ç 09¿ù 18ÀÏ Grand Ballroom 101-105, 1F 12:50~14:10 Luncheon Symposium ()
ÈÞ½Ä 09¿ù 18ÀÏ Grand Ballroom 101-105, 1F 14:10~14:30 Break ()
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 14:30~14:52 Chest radiograph: Perfomance and clinical implication ȲÀÇÁø(¼¿ï´ëº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 14:52~15:14 Chest CT: Lung cancer screening ÀÌ»ó¹Î(¼¿ï¾Æ»êº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 15:14~15:36 AI beyond diagnosis and detection: Image quality improvement, image neutralization, quantification Áø±¤³²(¼¿ï½Ã¸³ º¸¶ó¸Åº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 15:36~16:00 AI in thoracic radiology: how to use ±¸Áø¸ð(¼¿ï´ëÇб³ ÀÇ°ú´ëÇÐ)
ÈÞ½Ä 09¿ù 18ÀÏ 16:00~16:30 Break ()
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 16:30~16:40 Deep learning-based automated pulmonary vessel segmentation algorithm noncontrast chest CT: Assessment of vascular remodeling on COPD patients ³²ÁÖ°(¼¿ï´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 16:40~16:50 Quantitative CT analysis with longitudinal Image matching and adaptive multiple feature method on the effect of antifibrotic therapy in fibrotic Interstitial lung disease ¹ÚÁ¾¼ö(¼¿ï´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 16:50~17:00 Characteristics of COVID-19 patients who progress to pneumonia on follow-up chest radiograph: 236 patients a single isolated cohort in Daegu, South Korea Á¤ÇÏ°æ(°è¸í´ë µ¿»êÀÇ·á¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 17:00~17:10 Free AI software for automatic CT quantification of coronavirus disease 2019: An international collaborative development, validation, and distribution À¯½ÂÁø(ÇѾç´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 17:10~17:20 Prognosis of pneumonic-type invasive mucinous adenocarcinoma in a single lobe on CT: Is it reasonable to be designated as T3? ±è¿ìÀÏ(¿ï»êÀÇ´ë ¼¿ï¾Æ»êº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 17:20~17:30 Performance of radiomic models for survival prediction in non-small-cell lung cancer: Influence of CT slice thickness ¹Ú¼ÒÈñ(¿ï»êÀÇ´ë ¼¿ï¾Æ»êº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 17:30~17:40 A 4-year experience of chest MRI dedicated to incidental anterior mediastinal lesions : Impact on non-therapeutic thymectomy ¼ÁØ¿µ(¼¿ï´ëÇб³º´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 17:40~17:50 Diagnostic value of dual-energy spectral CT parameters for differentiating pulmonary metastasis benign lung nodules in patients with thyroid cancer ÇÏÅÂÈ£(°í·Á´ë ¾È»êº´¿ø)
±³À°½Ã°£ 09¿ù 18ÀÏ Grand Ballroom 103, 1F 17:50~18:00 Diagnostic performance of the CT-guided percutaneous transthoracic needle biopsy performed during quiet breathing with respiratory targeting technique ÇÑÁö¿¬(ÀÎÁ¦´ëÇб³ ºÎ»ê¹éº´¿ø)