Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
about
Automatic weighing attribute to retrieve similar lung cancer nodules.Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.Relationship between Glioblastoma Heterogeneity and Survival Time: An MR Imaging Texture Analysis.Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer.Diagnostic classification of solitary pulmonary nodules using dual time 18F-FDG PET/CT image texture features in granuloma-endemic regions.A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images.Texture Feature Extraction and Analysis for Polyp Differentiation via Computed Tomography ColonographyLung nodule malignancy classification using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methods.Pulmonary nodule classification in lung cancer screening with three-dimensional convolutional neural networks.3D multi-view convolutional neural networks for lung nodule classification.Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps.Clinical applications of textural analysis in non-small cell lung cancer.Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules.Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer.Pancreatic adenocarcinoma: cross-sectional imaging techniques.Computerized detection of lung nodules through radiomics.
P2860
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P2860
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
description
2015 nî lūn-bûn
@nan
2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@ast
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@en
type
label
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@ast
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@en
prefLabel
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@ast
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@en
P2093
P2860
P1476
Texture feature analysis for computer-aided diagnosis on pulmonary nodules.
@en
P2093
Bowen Song
Fangfang Han
Guopeng Zhang
Hongbing Lu
Huafeng Wang
William Moore
Zhengrong Liang
P2860
P2888
P304
P356
10.1007/S10278-014-9718-8
P577
2015-02-01T00:00:00Z