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Mauro Mattace Raso

istituto nazionale tumori irccs fondazione g pascale
H指数:13
被引数:542

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Clinically Robust Deep Learning for Contrast-Enhanced Mammography: Multicenter Evaluation Across Convolutional Neural Network Architectures

临床稳健的深度学习用于对比增强乳腺摄影:跨卷积神经网络架构的多中心评估

2026-04-180
OAAI
Engineering the Image Representation for Deep Learning in Contrast-Enhanced Mammography: A Systematic Analysis of Preprocessing and Anatomical Masking

工程化对比增强乳腺X射线图像表示用于深度学习:预处理和解剖学掩模的系统分析

2026-03-120
OAAI
Machine and Deep Learning on Radiomic Features from Contrast-Enhanced Mammography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Breast Cancer Characterization

机器和深度学习来自对比增强乳腺x线摄影和动态对比增强磁共振成像的影像组学特征,用于乳腺癌表征

2026-03-030
OAAI
Radiomics integrated with machine and deep learning analysis of T2-weighted and arterial-phase T1-weighted Magnetic Resonance Imaging for non-invasive detection of metastatic axillary lymph nodes in breast cancer

基于T2加权与动脉期T1加权磁共振成像的放射组学整合机器学习和深度学习分析,用于乳腺癌转移性腋窝淋巴结的非侵入性检测

2025-09-230
OAAI
The application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer: A systematic review
2025-02-012
PRE
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome

通过T2-weighted成像和动态对比增强磁共振成像进行放射组学和人工智能分析,以预测乳腺癌的组织学结果

2023-10-0610
PRE
Preoperative localisation of nonpalpable breast lesions using magnetic markers in a tertiary cancer centre

在三级癌症中心使用磁性标记物对不可触及的乳腺病变进行术前定位

2022-07-066
OAAI
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern

基于磁共振成像的影像组学和机器学习分析在结直肠癌肝转移生长模式评估中的应用

2022-04-2929
OAAI