Data and Code for SIDLN

Published: 29 August 2024| Version 1 | DOI: 10.17632/5w9vmhn7vp.1
Contributor:
Young Gao

Description

The data and code are supplementary to the research titled: "A Self-Interpretable Deep Learning Network for Early Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy Based on Breast Pre-Treatment Dynamic Contrast-Enhanced Magnetic Resonance Imaging."

Files

Categories

Breast Cancer, Medical Image Processing, Interpretable Machine Learning

Related Links

Dataset
https://doi.org/10.7937/TCIA.XC7A-QT20
is derived from this dataset

Licence