Biomedical imaging | Medical Image Processing DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. January 18, 2021
Pathology | Radiology nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. December 8, 2020
Biomedical imaging | Neurology | Oncology DDeep3M: Docker-powered Deep Learning for Biomedical Image Segmentation. June 22, 2020
Pathology | Radiology Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state-of-art applications. May 17, 2020
Biomedical Engineering | Radiology Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. March 14, 2020
Artificial Intelligence | Oncology Weakly Supervised Biomedical Image Segmentation by Reiterative Learning. May 6, 2019