Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images

Author:

Zhang Shichuan1,Zhu Chenglu1,Li Honglin1,Cai Jiatong1,Yang Lin1

Affiliation:

1. Westlake University,Artificial Intelligence and Biomedical Image Analysis Lab, School of Engineering

Funder

China Postdoctoral Science Foundation

Publisher

IEEE

Reference13 articles.

1. UnitBox

2. Unsupervised label noise modeling and loss correction;arazo;International Conference on Machine Learning,2019

3. Encoder-decoder with atrous separable convolution for semantic image segmentation;chen;Proceedings of the European Conference on Computer Vision (ECCV),2018

4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

5. mTOR/p70S6K Signal transduction pathway contributes to osteosarcoma progression and patients’ prognosis

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1. Adaptive Focal Inverse Distance Transform Maps for Cell Recognition;Neural Information Processing;2023-11-14

2. End-to-End Cell Recognition by Point Annotation;Lecture Notes in Computer Science;2022

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