Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique

Purpose: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity; however, it is difficult to detect nodules in contact with normal organs, and additional efforts are needed so that the number of false posi...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 43; H. 6; S. 2821 - 2827
Hauptverfasser:	Teramoto, Atsushi, Fujita, Hiroshi, Yamamuro, Osamu, Tamaki, Tsuneo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States American Association of Physicists in Medicine 01.06.2016
Schlagworte:	60 APPLIED LIFE SCIENCES Artificial neural networks Biological material, e.g. blood, urine; Haemocytometers cancer CAT SCANNING Computed tomography Computer aided diagnosis Computerised tomographs computerised tomography computer‐aided detection convolutional neural network Digital computing or data processing equipment or methods, specially adapted for specific applications false‐positive reduction feature extraction Female Humans Image data processing or generation, in general In which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines Inference methods or devices lung Lung - diagnostic imaging Lung Neoplasms - diagnostic imaging Lungs Male Measuring half‐life of a radioactive substance medical image processing Medical image quality Medical image segmentation NEURAL NETWORKS Neural Networks (Computer) nodule PET/CT POSITRON COMPUTED TOMOGRAPHY positron emission tomography Positron emission tomography (PET) Positron Emission Tomography Computed Tomography - methods RADIATION PROTECTION AND DOSIMETRY Radiographic Image Interpretation, Computer-Assisted - methods Radiologists ROC Curve Scintigraphy SENSITIVITY Sensitivity and Specificity Support Vector Machine support vector machines Whole Body Imaging - methods lung false-positive reduction nodule computer-aided detection convolutional neural network PET/CT
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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