MITK 自动化研究所

Member since 2018-05-10T09:53:05Z. Last seen 2021-05-07T02:16:38Z.

Posts by MITK

• 
  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 0 Comments 2980
• 
  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 0 Comments 2628
• 
  2019-01-18T20:19:31Z

  MITK

  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

  Radiomics Permalink 0 Comments 3027
• 
  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 0 Comments 2631
• 
  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 0 Comments 3100
• 
  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 0 Comments 2434
• 
  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 0 Comments 3406
• 
  2018-05-24T04:08:19Z

  MITK

  Radiomics Based Treatment Selection for Liver Resection and TACE in Hepatocellular Carcinoma: A Cohort Study by Inverse Probability of Treatment Weighting

  Keywords:

  feature; ModelCRR; Fig; TACE; resection; LR; patients; model

  Radiomics Permalink 0 Comments 2761
• 
  2018-05-24T03:08:19Z

  MITK

  Deep learning Radiomics of elastography (DLRE)

  Keywords:

  training; DLRE; model; cohort; data; radiomic; images; were

  Radiomics Permalink 0 Comments 1806
• 
  2018-05-21T08:18:55Z

  MITK

  Tutorial videos For MOSE v2.3 (视频教程)

  Keywords:

  Tutorial; videos; available; here; Sample1; Sample2; Sample3; Sample4

  MOSE Permalink 0 Comments 1987