Jun 12, 2022 · We introduce PD-DWI, a physiologically decomposed DWI machine-learning model to predict pCR from DWI and clinical data.

Sep 16, 2022 · We introduced PD-DWI, a physiologically decomposed DWI machine-learning model, to predict pCR following NAC in invasive breast cancer. Our model ...

The study introduces a physiologically decomposed diffusion-weighted MRI (PD-DWI) machine learning model to predict the pathological complete response (pCR) ...

Jun 12, 2022 · We demonstrated the added-value of our PD-DWI model over conventional machine-learning approaches for pCR prediction from mp-MRI data using the ...

We demonstrated the added-value of our PD-DWI model over conventional machine-learning approaches for pCR prediction from mp-MRI data using ...

PD-DWI is a physiologically-decomposed Diffusion-Weighted MRI machine-learning model for predicting response to neoadjuvant chemotherapy in invasive breast ...

Jan 5, 2024 · Diffusion-weighted MRI findings predict pathologic response in neoadjuvant treatment of breast cancer: the ACRIN 6698 multicenter trial.

Apr 7, 2024 · We propose a deep learning model employing ”Size-Adaptive Lesion Weighting” for automatic DWI tumor segmentation to enhance pCR prediction ...

Missing: PD- invasive Physiologically- Decomposed machine- learning

Background: The apparent diffusion coefficient (ADC) value using histogram analysis is helpful to predict responses to neoadjuvant chemotherapy (NAC) in breast ...