| Cellular Segmentation and Composition in Routine Histology Images using Deep Learning | Mar 4, 2022 | ManagementNuclear Segmentation | —Unverified | 0 |
| Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting | Mar 1, 2022 | ClassificationExplainable Models | —Unverified | 0 |
| A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge | Mar 1, 2022 | ClassificationData Augmentation | —Unverified | 0 |
| Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting | Mar 1, 2022 | Instance SegmentationNuclear Segmentation | CodeCode Available | 0 |
| Nuclei panoptic segmentation and composition regression with multi-task deep neural networks | Feb 23, 2022 | DecoderExplainable Models | —Unverified | 0 |
| SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images | Feb 9, 2022 | ClassificationMulti-tissue Nucleus Segmentation | CodeCode Available | 1 |
| CoNIC: Colon Nuclei Identification and Counting Challenge 2022 | Nov 29, 2021 | Explainable ModelsNuclear Segmentation | —Unverified | 0 |
| Meta Mask Correction for Nuclei Segmentation in Histopathological Image | Nov 24, 2021 | Meta-LearningNuclear Segmentation | —Unverified | 0 |
| RDCNet: Instance segmentation with a minimalist recurrent residual network | Oct 2, 2020 | Instance SegmentationNuclear Segmentation | CodeCode Available | 0 |
| Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images | Aug 13, 2020 | Image SegmentationNuclear Segmentation | —Unverified | 0 |
