PAIP 2019 Workshop

Grand Pathology Session 3, 14:00-16:00
Date: October 17th, 2019
Venue: Intercontinental Shenzhen, Barcelona room

Time Table 
Time Presenter Title File
14:00-14:10 Jinwook Choi, M.D.
Seoul National University Hospital
Opening Remarks
14:10-14:20 Kyoungbun Lee, M.D.
Seoul National University Hospital
Keynote speech: Clinical Reviews on PAIP2019 Challenge: View of Pathologists
14:20-14:30 Won-Ki Jeong,
Ulsan National Institute of Science and Technology
Keynote speech: PAIP2019 Challenge Technical Reviews
14:30-14:37 Team DAISYlab@UKE msYI-Net: A multi-scale multi-encoder
14:38-14:45 Team LRDE Segmentation of viable liver tumor using transfer learning
14:46-14:53 Team blackbear Ensemble Learning for Liver Cancer Segmentation and Tumor Burden Estimation
14:54-15:01 Team Sig-Ipath Sig-IPath in PAIP2019
15:02-15:09 Team COSYPath Liver Cancer Segmentation on Whole Slide Histopathology Images Using a SegNet Ensemble
15:10-15:17 Team CUHK-Med A Robust and Efficient Approach towards Liver Whole Slide Image Segmentation and Viable Burden Estimation
15:18-15:25 Team QuIIL Cascaded deep convolutional neural networks for the assessment of the viable tumor burden in liver cancer
15:26-15:33 Team Damo AIC Multi-task Ensemble Network for Pathological Segmentation of Liver Tumors
15:34-15:41 Team MIRL-IITM Segmentation of viable tumor in whole slide images of liver cancer using an ensemble of diverse deep learning architectures and estimation of the whole tumor region using convex contouring on viable tumor
15:42-15:49 Team Sen Automatic Hepatocellular Carcinoma Detection in Whole-Slide Image using an Ensemble Convolution Neural Network
15:50-15:57 Hyun Jung Training Deep Neural Networks for Liver Cancer Segmentation and Viable Tumor Burden Estimation
15:58- PAIP 2019 Organizer Award Ceremony and Open Discussion