| _ | mitosis | _ |
| 2-SiMDoM: A 2-Sieve model for detection of | mitosis | in multispectral breast cancer imagery |
| AggNet: Deep Learning From Crowds for | mitosis | Detection in Breast Cancer Histology Images |
| Automated Detection of | mitosis | in Embryonic Tissues |
| Automated | mitosis | detection based on eXclusive Independent Component Analysis |
| Automated | mitosis | Detection of Stem Cell Populations in Phase-Contrast Microscopy Images |
| CTMC: Cell Tracking with | mitosis | Detection Dataset Challenge |
| Deep learning-based automated | mitosis | detection in histopathology images for breast cancer grading |
| Detection of | mitosis | within a stem cell population of high cell confluence in phase-contrast microscopy images |
| Domain Adaptive Box-Supervised Instance Segmentation Network for | mitosis | Detection |
| Dual-Stage Domain Adaptive | mitosis | Detection for Histopathology Images |
| Dynamic feature extraction and histopathology domain shift alignment for | mitosis | detection |
| High-performance | mitosis | detection using single-level feature and hybrid label assignment |
| mitosis | Detection for Invasive Breast Cancer Grading in Histopathological Images |
| mitosis | Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields |
| mitosis | event recognition and detection based on evolution of feature in time domain |
| mitosis | Extraction in Breast-Cancer Histopathological Whole Slide Images |
| Multi-feature fusion of deep networks for | mitosis | segmentation in histological images |
| Multi-Grained Random Fields for | mitosis | Identification in Time-Lapse Phase Contrast Microscopy Image Sequences |
| Novel Two-Stage Deep Method for | mitosis | Detection in Breast Cancer Histology Images, A |
| Semi-Markov Model for | mitosis | Segmentation in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations, A |
| Spatio-Temporal | mitosis | Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark |
| Unified Graphical Models Framework for Automated | mitosis | Detection in Human Embryos, A |
| Whole-Slide | mitosis | Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks |
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