| A Deep Learning Framework for Nuclear Segmentation and Classification in Histopathological Images | Mar 4, 2022 | ClassificationNuclear Segmentation | —Unverified | 0 | 0 |
| APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification | Apr 3, 2025 | ClassificationInstance Segmentation | —Unverified | 0 | 0 |
| Cellular Segmentation and Composition in Routine Histology Images using Deep Learning | Mar 4, 2022 | ManagementNuclear Segmentation | —Unverified | 0 | 0 |
| Classification of Tumor Histology via Morphometric Context | Jun 1, 2013 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| CoNIC: Colon Nuclei Identification and Counting Challenge 2022 | Nov 29, 2021 | Explainable ModelsNuclear Segmentation | —Unverified | 0 | 0 |
| Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections | Feb 13, 2018 | Nuclear SegmentationSegmentation | —Unverified | 0 | 0 |
| GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images | Sep 17, 2013 | 3D Shape ReconstructionBIG-bench Machine Learning | —Unverified | 0 | 0 |
| HoverFast: an accurate, high-throughput, clinically deployable nuclear segmentation tool for brightfield digital pathology images | May 22, 2024 | GPUKnowledge Distillation | —Unverified | 0 | 0 |
| Meta Mask Correction for Nuclei Segmentation in Histopathological Image | Nov 24, 2021 | Meta-LearningNuclear Segmentation | —Unverified | 0 | 0 |
| Accurate Nuclear Segmentation with Center Vector Encoding | Jul 9, 2019 | Nuclear SegmentationSegmentation | —Unverified | 0 | 0 |
