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Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs

Automated segmentation of tuberculosis (TB)-consistent lesions in chest X-rays (CXRs) using deep learning (DL) methods can help reduce radiologist effort, supplement clinical decision-making, and potentially result in improved patient treatment.

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Cite this as

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K Antani (2024). Dataset: Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. https://doi.org/10.57702/vh9u28zw

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Sivaramakrishnan Rajaraman
More Authors	Feng Yang Ghada Zamzmi Peng Guo Zhiyun Xue Sameer K Antani
Homepage	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511114/