Nuclei Classification

3 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

shabbeersh/Impact-of-FC-layers 30 Sep 2018

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 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.

Cell Graph Transformer for Nuclei Classification

lhaof/cgt 20 Feb 2024

Nuclei classification is a critical step in computer-aided diagnosis with histopathology images.