Semantic segmentation of human cell nucleus using deep U-Net and other versions of U-Net models
Author:
Affiliation:
1. School of Computer and Systems Sciences, Jawaharlal Nehru Univesity, New Delhi, India
Funder
The author(s) reported there is no funding associated with the work featured in this article
Publisher
Informa UK Limited
Subject
Neuroscience (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2022.2096938
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1. A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation
2. High Expression of Lymphocyte-Associated Genes in Node-Negative HER2+ Breast Cancers Correlates with Lower Recurrence Rates
3. Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net)
4. Two-stage ultrasound image segmentation using U-Net and test time augmentation
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