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  • Radiomics Models
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  • 2021-02-22T05:52:19Z
    MITK

    A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients with Underlying Health Conditions: A Multicenter Study

    Keywords:
    COVID-19; deep learning; prognosis; CT
    Radiomics Permalink 4790
  • 2020-04-09T08:44:15Z
    MITK

    A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study

    Keywords:
    Gastric cancer; Deep learning; Overall survival; Computed tomography
    Radiomics Permalink 4389
  • 2020-02-17T13:07:55Z
    MITK

    CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer

    Keywords:
    Gastric cancer; Multi-detector computed tomography; Radiomics; Deep learning
    Radiomics Permalink 6215
  • 2019-11-05T01:19:31Z
    MITK

    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
    Radiomics Permalink 4751
  • 2019-05-05T07:07:38Z
    MITK

    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
    Radiomics Permalink 6806
  • 2019-02-28T07:30:39Z
    MITK

    Deep Learning PET/CT-based Radiomics Prognostic Model for Advanced Nasopharyngeal Carcinoma

    Keywords:
    nasopharyngeal carcinoma; radiomics; deep learning; PET/CT; induction chemotherapy
    Radiomics Permalink 5908
  • 2018-06-09T08:42:09Z
    MITK

    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
    Radiomics Permalink 5689
  • 2018-06-09T05:49:03Z
    MITK

    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
    Radiomics Permalink 6326
  • 2018-05-29T11:47:28Z
    MITK

    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
    Radiomics Permalink 5978
  • 2018-05-27T05:04:27Z
    MITK

    Deep Learning: A Non-invasive Model to Predict EGFR Mutation Status in Lung Adenocarcinoma

    Keywords:
    model; EGFR; learning; deep; DL; tumor; Figure; different
    Radiomics Permalink 7764
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