Automated detection of pulmonary nodules in helical computed tomography images of the thorax

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3338, Issue , 1998, Pages 916-919

  Armato III, Samuel G ^a   Giger, Maryellen L ^a   Moran, Catherine J ^a   MacMahon, Heber ^a   Doi, Kunio ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Artificial neural network; Automated lung nodule detection; Automated lung segmentation; Computed tomography (CT)

Indexed keywords

AUTOMATION; BACKPROPAGATION; BINARY IMAGES; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC RADIOGRAPHY; IMAGING SYSTEMS; PIXELS;

ARTIFICIAL NEURAL NETWORK; AUTOMATED DETECTIONS; AUTOMATED LUNG NODULE DETECTION; AUTOMATED LUNG SEGMENTATION; AUTOMATED METHODS; COMPUTED TOMOGRAPHY (CT); COMPUTERIZED METHODS; DESCRIPTORS; DETECTION OF LUNG NODULES; GRAY LEVELS; HELICAL COMPUTED TOMOGRAPHIES; IMAGE PIXELS; LUNG REGIONS; POSITIVE SIGNALS; PULMONARY NODULES; ROLLING BALLS; THRESHOLDING;

NEURAL NETWORKS;

EID: 0001078691     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.310968     Document Type: Conference Paper

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