(2026). Interpretable machine learning model using CT body composition combined with inflammatory and nutritional indicators to predict pathological complete response after neoadjuvant therapy in breast cancer: A retrospective study. PeerJ.
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Chicago Style (17th ed.) Citation
"Interpretable Machine Learning Model Using CT Body Composition Combined with Inflammatory and Nutritional Indicators to Predict Pathological Complete Response After Neoadjuvant Therapy in Breast Cancer: A Retrospective Study."
PeerJ 2026.
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MLA (9th ed.) Citation
"Interpretable Machine Learning Model Using CT Body Composition Combined with Inflammatory and Nutritional Indicators to Predict Pathological Complete Response After Neoadjuvant Therapy in Breast Cancer: A Retrospective Study."
PeerJ, 2026.
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Warning: These citations may not always be 100% accurate.