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Found 4 papers, 2 papers with code
Gland segmentation via dual encoders and boundary-enhanced attention
Accurate and automated gland segmentation on pathological images can assist pathologists in diagnosing the malignancy of colorectal adenocarcinoma.
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
And the feature diversity is preserved by inter- and intra- class feature diversity-preserved module (InCDP).
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
In the first stage, a detection network named M_det is proposed to detect as many mitoses as possible.
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification
In addition, the model also achieves good performance on GZMH dataset, which is prepared by our group and will be firstly released with the publication of this paper.
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