Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network

Medical Physics

Volumn 25, Issue 6, 1998, Pages 998-1007

  Tsujii, Osamu ^a   Freedman, Matthew T ^a   Mun, Seong K ^a  

^a GEORGETOWN UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Anatomic region; Chest radiograph; Image feature; Neural network; Segmentation; Self organization

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; ENTROPY; GRAPHIC METHODS; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; PIXELS; RADIOGRAPHY;

AMOUNT OF INFORMATION; ANATOMIC REGIONS; AUTOMATED SEGMENTATION; CHEST RADIOGRAPHS; HYBRID NEURAL NETWORKS; IMAGE FEATURES; JOHNS HOPKINS UNIVERSITIES; SELF ORGANIZATIONS;

IMAGE SEGMENTATION;

ARTICLE; AUTOMATION; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DIAGNOSTIC ACCURACY; HUMAN; IMAGE PROCESSING; MEDIASTINUM; NERVE CELL NETWORK; PRIORITY JOURNAL; THORAX RADIOGRAPHY;

EID: 0031803187     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.598277     Document Type: Article

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