RADIOMICS | Blog

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 4075
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 3612
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 5572
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 4138
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 6206
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 5309
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 5107
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 5743
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 5353
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 7099

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