Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer

Pattern Recognition

Volumn 42, Issue 6, 2009, Pages 1041-1051

  El Baz, A ^a   Gimel'farb, G ^b   Falk, R ^c   Abo El Ghar, M ^d  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c JEWISH HOSPITAL   (United States)

^d MANSOURA UNIVERSITY   (Egypt)

Author keywords

Computed tomography; Early diagnosis; Global registration; Growth rate estimation; Local registration; Lung cancer; Pulmonary nodules; Segmentation

Indexed keywords

ALIGNMENT; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DEFORMATION; DIAGNOSTIC RADIOGRAPHY; ELECTRIC INSTRUMENT TRANSFORMERS; FOURIER TRANSFORMS; GROWTH (MATERIALS); MEDICAL IMAGING; MOBILE TELECOMMUNICATION SYSTEMS; PROBABILITY DENSITY FUNCTION; TARGETS; TOMOGRAPHY;

COMPUTED TOMOGRAPHY; EARLY DIAGNOSIS; GLOBAL REGISTRATION; GROWTH RATE ESTIMATION; LOCAL REGISTRATION; LUNG CANCER; PULMONARY NODULES; SEGMENTATION;

THREE DIMENSIONAL;

EID: 59149087264     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.08.015     Document Type: Article

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