14:00-14:15 | Jinwook Choi, M.D.
Seoul National University Hospital | Opening Remarks |
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14:15-15:15 | Anant Madabhushi ,
Case Western Reserve University | Keynote speech Ⅰ: AI and Computational Pathology as a Companion Diagnostic: Implications for Precision Medicine |
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15:15-15:25 | David Joon Ho,
Memorial Sloan Kettering Cancer Center | Microsatellite Instability Prediction by High-Confident Patches in Colorectal Cancer Whole Slide Images |
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15:25-15:35 | Team QuILL,Sejong University
| Random sampling-based deep neural networks for an improved classification of microsatellite instability in colorectal cancer |
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15:35-15:45 | Fan Zhang | Predicting microsatellite instability from histology in colorectal cancer by deep learning |
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15:45-15:55 | Team ETRI_DGRC,Kyungpook National University
| Pathological Image Segmentation and Classification with Deep Neural Network
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15:55-16:10 |
| Break |
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16:10-16:30 | Kyoungbun Lee,Seoul National University Hospital
| Keynote speech Ⅱ: Clinical Reviews on PAIP2020 Challenge: View of Pathologists |
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16:30-16:50 | Won-Ki Jeong,Korea University | Keynote speech Ⅲ: PAIP2020 Challenge Technical Reviews
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16:50-17:00 | Team Sharif HooshPardaz,Sharif University of Technology
| Prediction of Microsatellite Instability in Colorectal Cancer from Whole Slide Images via Deep Neural Networks |
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17:00-17:10 | Team Sen,Sichuan University
| Accurate segmentation tumor areas and prediction microsatellite instability in colorectal cancer using a hybrid network |
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17:10-17:20 | Jaewook Lee,Seoul National University College of Medicine
| Transfer Learning with EfficientNet for MSI-H Classification for Colon Adenocarcinoma |
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17:20-17:30 | Team SUTECH,Shiraz University of Technology
| A Deep Learning Approach for Microsatellite Instability Prediction in Colorectal Cancer Whole slide Images |
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17:30- |
| Award Ceremony and Open Discussion |
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