Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7867-8_43
Reference18 articles.
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3. Aboobacker, S., Vijayasenan, D., David, S., Suresh, P., Sreeram, S.: A deep learning model for the automatic detection of malignancy in effusion cytology. In: 2020 IEEE International Conference On Signal Processing, Communications And Computing (ICSPCC), pp. 1–5 (2020)
4. Win, K., Choomchuay, S., Hamamoto, K., Raveesunthornkiat, M.: Artificial neural network based nuclei segmentation on cytology pleural effusion images. In: 2017 International Conference On Intelligent Informatics And Biomedical Sciences (ICIIBMS), pp. 245–249 (2017)
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