RADIOMICS | Blog

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 2614
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 2031
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 2758
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 2345
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 1516

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