3DMed5.0 中文版参考手册
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MITK
自动化研究所
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Posts by MITK
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Deep learning based radiomics for preoperative microvascular invasion and high-risk area detection with comparison between gadoxetic acid-enhanced MR and contrast-enhanced CT: a multi-center and prospective validation study
Keywords:hepatocellular carcinoma; microvascular invasion; radiomics; quantitative imaging analysis -
人工智能平台用户手册导航
Keywords:用户手册; 平台; AI; 人工智能; 下载; 结节; 之肝; PDF -
Multi-habitat and multi-sequence based radiomics for preoperative and noninvasive diagnosis of intracranial hemangiopericytoma and meningioma
Keywords:基于影像组学的颅内血管外皮细胞瘤和脑膜瘤无创影像诊断的研究 -
Deep Learning PET/CT-based Radiomics Prognostic Model for Advanced Nasopharyngeal Carcinoma
Keywords:nasopharyngeal carcinoma; radiomics; deep learning; PET/CT; induction chemotherapy -
Deep learning radiomic nomogram can predict the number of lymph mode metastasis in patients with advanced gastric cancer
Keywords:DLRN; cancer; CT; nomogram; AGC; gastric; radiomic; advanced -
An individualized imaging biomarker for treatment decision in locoregionally advanced nasopharyngeal cancer: a substudy of the randomized controlled trial
Keywords:locoregionally advanced nasopharyngeal carcinoma; Induction chemotherapy; concurrent chemoradiotherapy; imaging biomarker; selection of treatment -
Noninvasive Prediction of Subsequent Macrovascular Invasion in Hepatocellular Carcinoma Based on Radiomics
Keywords:Hepatocellular Carcinoma; Macrovascular Invasion; Radiomics; Noninvasive Prediction; Quantitative Imaging Analysis; Machine Learning -
Encoding High-grade Serous Ovarian Cancer by Deep Learning for Recurrence AnalysisEncoding High-grade Serous Ovarian Cancer by Deep Learning for Recurrence Analysis
Keywords:DL; model; recurrence; feature; Figure; tumor; image; cohort -
Deep Learning: A Non-invasive Model to Predict EGFR Mutation Status in Lung Adenocarcinoma
Keywords:model; EGFR; learning; deep; DL; tumor; Figure; different