ISBI2021で口頭発表を行いました
4月13-16日に開催されたIEEE International Symposium on Biomedical Imaging (ISBI 2021)で、鈴木研究室では２つの口頭発表を行いました。
- April 14, WeA2.3
-
Muneyuki Sato, Ze Jin, Kenji Suzuki, Semantic Segmentation of Liver Tumor in Contrast-Enhanced Hepatic CT by Using Deep Learning with Hessian-Based Enhancer with Small Training Dataset Size
- funded by NEDO/JST-MIRAI
- April 15, ThC1.4
-
Maodong Xiang, Ze Jin, Kenji Suzuki, Massive-Training Artificial Neural Network (MTANN) with Special Kernel for Artifact Reduction in Fast-Acquisition MRI of the Knee
- funded by NEDO
