机器学习模型基于MRI特征可术前区分乳腺癌HER2表达水平。 乳腺癌是女性中最常被诊断的癌症之一，其异质性强，治疗方案及预后因分子亚型而异。HER2的精准评估对于选择靶向治疗方案至关重要。传统上，HER2状态被划分为阳性（过表达）与阴性。近年来，HER2低 ...

前列腺MRI深度学习模型通过PI-RADS指导的学习有效区分中危病例，在检测csPCa的AUC（0.73-0.88）显著优于放射科医生和临床模型 ...

Optimization of a deep convolution neural network (DCNN) for osteosarcoma necrosis quantification and outcome prediction. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This ...

Innovative technology performs automatic segmentation and lesion detection in prostate MRI scans to assist in PI-RADS scoring for prostate cancer management TEL AVIV, Israel & SAN JOSE, ...

Receiving your mammogram results can be an emotional experience. Whether the news is positive or requires further investigation, it’s important to understand what these results mean for your breast ...

本研究评估O-RADS MRI系统在诊断卵巢病变良恶性中的准确性，采用病理学作为金标准。纳入2025年1-6月Karachi某医院145例18-65岁 ...