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2D and 2.5D Deep Learning Models for Neoadjuvant Chemotherapy Response Prediction in Breast Cancer

2026-04-03

Abstract excerpt

<title>Abstract</title> <p>Neoadjuvant chemotherapy (NAC) is central to managing locally advanced breast cancer, and accurate response assessment is essential for guiding clinical decision-making. This study developed and compared 2D and 2.5D deep learning models using multimodal breast Magnetic resonance imaging (MRI) to predict NAC response. A retrospective cohort of 187 patients (mean age 50.24 years) treated...

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Literature Corpus work
5606de71-066c-5d7f-b9cc-43793c381881
DOI
10.21203/rs.3.rs-8229046/v1
Open publication

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2D and 2.5D Deep Learning Models for Neoadjuvant Chemotherapy Response Prediction in Breast CancerDOI 10.21203/rs.3.rs-8229046/v1
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