(2026). Machine learning and radiomics for predicting therapeutic efficacy in newly diagnosed sputum-negative pulmonary tuberculosis: A retrospective study. PeerJ.
Successfully copied to clipboard
Copying to clipboard failed
Chicago Style (17th ed.) Citation
"Machine Learning and Radiomics for Predicting Therapeutic Efficacy in Newly Diagnosed Sputum-negative Pulmonary Tuberculosis: A Retrospective Study."
PeerJ 2026.
Successfully copied to clipboard
Copying to clipboard failed
MLA (9th ed.) Citation
"Machine Learning and Radiomics for Predicting Therapeutic Efficacy in Newly Diagnosed Sputum-negative Pulmonary Tuberculosis: A Retrospective Study."
PeerJ, 2026.
Successfully copied to clipboard
Copying to clipboard failed
Warning: These citations may not always be 100% accurate.