Nuclei Classification
6 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Nuclei Classification
MoNuSAC
Most implemented papers
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
shabbeersh/Impact-of-FC-layers
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The results of the proposed RCCNet model are compared with five state-of-the-art CNN models in terms of the accuracy, weighted average F1 score and training time.
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images
QuIIL/Sonnet
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IEEE Journal of Biomedical and Health Informatics 2022
We show that the proposed network achieves the state-of-the-art performance in both nuclei segmentation and classification in comparison to several methods that are recently developed for segmentation and/or classification.
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions
ibtihajahmadkhan/DAN-Nuc-Net
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Expert Systems with Applications 2023
The nuclei segmentation in histology images is challenging in variable conditions (clinical wild), such as poor staining quality, stain variability, tissue variability, and conditions having higher morphological variability.
Cell Graph Transformer for Nuclei Classification
lhaof/cgt
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Nuclei classification is a critical step in computer-aided diagnosis with histopathology images.
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
Our method is based on the principle that if a model is dependent on a feature, then removal of that feature should significantly harm its performance.
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
However, our lightest model, NuLite-S, is 40 times smaller in terms of parameters and about 8 times smaller in terms of GFlops, while our heaviest model is 17 times smaller in terms of parameters and about 7 times smaller in terms of GFlops.
