Learning with limited target data to detect cells in cross-modality images

Author:

Xing FuyongORCID,Yang Xinyi,Cornish Toby C.ORCID,Ghosh DebashisORCID

Funder

National Cancer Institute

National Institutes of Health

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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4. Bousmalis, K., Silberman, N., Dohan, D., Erhan, D., Krishnan, D., 2017. Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit.. pp. 95–104.

5. Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images;Breen,2022

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