Automated classification of lung bronchovascular anatomy in CT using AdaBoost.
about
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching.Computerized comprehensive data analysis of lung imaging database consortium (LIDC).Machine learning and radiology.Automatic segmentation of anatomical structures from CT scans of thorax for RTP.A computer-aided diagnosis system for quantitative scoring of extent of lung fibrosis in scleroderma patients.Computer-aided lung nodule recognition by SVM classifier based on combination of random undersampling and SMOTEFifty years of computer analysis in chest imaging: rule-based, machine learning, deep learningGraph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts.Computer-aided detection of endobronchial valves using volumetric CT.Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases.Shape and texture based novel features for automated juxtapleural nodule detection in lung CTs.Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier.Automated Selection of Standardized Planes from Ultrasound Volume
P2860
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P2860
Automated classification of lung bronchovascular anatomy in CT using AdaBoost.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Automated classification of lung bronchovascular anatomy in CT using AdaBoost.
@en
type
label
Automated classification of lung bronchovascular anatomy in CT using AdaBoost.
@en
prefLabel
Automated classification of lung bronchovascular anatomy in CT using AdaBoost.
@en
P2093
P2860
P1476
Automated classification of lung bronchovascular anatomy in CT using AdaBoost
@en
P2093
Donald Roback
Fereidoun Abtin
Hyun J Kim
Kathleen Brown
Matthew S Brown
Poonam Batra
Robert A Ochs
P2860
P304
P356
10.1016/J.MEDIA.2007.03.004
P577
2007-03-30T00:00:00Z