A semantically robust adversarial training domain adaptation method for tuberculosis diagnosis

Domain adaptation is crucial for tuberculosis diagnosis from X-ray images, as it mitigates variations arising from different imaging conditions across hospitals, thereby enhancing the generalization capability and reliability of tuberculosis diagnostic models. Cycle-consistent adversarial training m...

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Bibliographic Details

Main Authors:	Yaakob, Razali, Zeyu, Ding, Ahmad Nazri, Azree Shahrel, Zakaria, Nor Fadhlina, Mohd Rum, Siti Nurulain, Azman, Azreen
Format:	Conference or Workshop Item
Language:	en
Published:	Institute of Electrical and Electronics Engineers 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/121499/1/121499.pdf http://psasir.upm.edu.my/id/eprint/121499/ https://ieeexplore.ieee.org/document/10788597/
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