Latest
- Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species
- Relieving pixel-wise labeling effort for pathology image segmentation with self-training
- Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages
- Deep Learning approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images
- Multi-task pre-training of deep neural networks for digital pathology
- Anatomical landmark detection algorithms
- Image classification and object recognition algorithms
- New Cytomine modules for user behavior analytics in digital pathology
- Comparison of Deep Transfer Learning Strategies for Digital Pathology
- Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach
- Towards generic image classification using tree-based learning: An extensive empirical study
- Collaborative analysis of multi-gigapixel imaging data using Cytomine
- Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge
- Phenotype Classification of Zebrafish Embryos by Supervised Learning
- Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval