Structure embedded nucleus classification for histopathology images
Nuclei classification provides valuable information for histopathology image analysis.
However, the large variations in the appearance of different nuclei types cause difficulties in …
However, the large variations in the appearance of different nuclei types cause difficulties in …
Cell Graph Transformer for Nuclei Classification
Nuclei classification is a critical step in computer-aided diagnosis with histopathology
images. In the past, various methods have employed graph neural networks (GNN) to …
images. In the past, various methods have employed graph neural networks (GNN) to …
UniCell: Universal Cell Nucleus Classification via Prompt Learning
The recognition of multi-class cell nuclei can significantly facilitate the process of
histopathological diagnosis. Numerous pathological datasets are currently available, but …
histopathological diagnosis. Numerous pathological datasets are currently available, but …
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
Z Wang, Y Zhang, Y Wang, L Cai, Y Zhang - arXiv preprint arXiv …, 2024 - arxiv.org
Deep learning has achieved impressive results in nuclei segmentation, but the massive
requirement for pixel-wise labels remains a significant challenge. To alleviate the annotation …
requirement for pixel-wise labels remains a significant challenge. To alleviate the annotation …
Cell-DETR: Efficient cell detection and classification in WSIs with transformers
O Pina, E Dorca, V Vilaplana - Medical Imaging with Deep Learning, 2024 - openreview.net
Understanding cell interactions and subpopulation distribution is crucial for pathologists to
support their diagnoses. This cell information is traditionally extracted from segmentation …
support their diagnoses. This cell information is traditionally extracted from segmentation …
[HTML][HTML] Advancing histopathology in Health 4.0: Enhanced cell nuclei detection using deep learning and analytic classifiers
This study contributes to the Health 4.0 paradigm by enhancing the precision of cell nuclei
detection in histopathological images, a critical step in digital pathology. The presented …
detection in histopathological images, a critical step in digital pathology. The presented …
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
J Fan, D Liu, C Li, H Chang, H Huang, F Braet… - arXiv preprint arXiv …, 2024 - arxiv.org
Cellular nuclei recognition serves as a fundamental and essential step in the workflow of
digital pathology. However, with disparate source organs and staining procedures among …
digital pathology. However, with disparate source organs and staining procedures among …