An Improved U-Net Model for Simultaneous Nuclei Segmentation and Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5597-4_27
Reference22 articles.
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2. Graham, S., et al.: Hover-Net: simultaneous segmentation and classification of nuclei in multi-tissue histology images. Med. Image Anal. 58, 101563 (2019)
3. Schmidt, U., Weigert, M., Broaddus, C., Myers, G.: Cell detection with star-convex polygons. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, pp. 265–273. Springer International Publishing, Granada (2018)
4. Chen, S., Ding, C., Liu, M., Cheng, J., Tao, D.: CPP-Net: context-aware polygon proposal network for nucleus segmentation. IEEE Trans. Image Process. 32, 980–994 (2023)
5. Lecture Notes in Computer Science;O Ronneberger,2015
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