基于深度学习的乳腺癌MRI影像预处理

Preprocessing of breast cancer MRI images based on deep learning

乳腺癌是世界范围内女性发病率和死亡率较高的肿瘤,而影像组学的发展对乳腺癌精准诊疗带来了新的机遇。原始影像数据需做一些预处理操作才能更好地进行下一步分析。本文主要对公共数据集RIDER Breast MRI进行影像配准、增强等预处理操作,获取准确的图像信息,为后续的特征计算以及影像分析提供一定的保障。

Breast cancer is the world’s higher incidence of female morbidity and mortality,and the development of imaging omics has brought new opportunities for accurate diagnosis and treatment of breast cancer.The raw image data needs to be pre-processed for better analysis in the next step.This paper mainly performs image registration and enhancement preprocessing operations on the public dataset RIDER Breast MRI to obtain accurate image information,which provides certain guarantee for subsequent feature calculation and image analysis.