Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.
about
Clinical judgement in the era of big data and predictive analytics.Machine Learning Approaches in Cardiovascular Imaging.Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography.Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.Extracting biological age from biomedical data via deep learning: too much of a good thing?Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs.Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancerCardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning
P2860
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P2860
Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.
description
2017 nî lūn-bûn
@nan
2017 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Precision Radiology: Predictin ...... hods in a radiomics framework.
@ast
Precision Radiology: Predictin ...... hods in a radiomics framework.
@en
type
label
Precision Radiology: Predictin ...... hods in a radiomics framework.
@ast
Precision Radiology: Predictin ...... hods in a radiomics framework.
@en
prefLabel
Precision Radiology: Predictin ...... hods in a radiomics framework.
@ast
Precision Radiology: Predictin ...... hods in a radiomics framework.
@en
P2093
P2860
P50
P1433
P1476
Precision Radiology: Predictin ...... hods in a radiomics framework.
@en
P2093
Gustavo Carneiro
Luke Oakden-Rayner
Taryn Bessen
P2860
P2888
P356
10.1038/S41598-017-01931-W
P407
P577
2017-05-10T00:00:00Z
P6179
1085330982