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。
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 WeA2.3, Wednesday, April 14, 2021
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 ThC1.4 Thursday, April 15, 2021
