A new CAD system for early diagnosis of detected lung nodules

Proceedings - International Conference on Image Processing, ICIP

Volumn 2, Issue , 2007, Pages

  El Baz, Ayman ^a   Gimel'farb, Georgy ^b   Falk, Robert ^c   El Ghar, Mohamed Abo ^d  

^a University of Louisville ^*  (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c JEWISH HOSPITAL   (United States)

^d MANSOURA UNIVERSITY   (Egypt)

Author keywords

Detection of lung nodules; Diagnosis of lung cancer; Lung nodule segmentation

Indexed keywords

CAD SYSTEMS; CLASSIFICATION RESULTS; COMPUTED TOMOGRAPHY; COMPUTER-ASSISTED DIAGNOSIS; CONFIDENCE INTERVAL; CURRENT TECHNOLOGIES; DETECTION OF LUNG NODULES; DIAGNOSIS OF LUNG CANCER; EARLY DIAGNOSIS; HIGH-DENSITY; IMAGING EQUIPMENT; INTERNATIONAL CONFERENCES; LOW-DOSE; LUNG CANCERS; LUNG NODULE SEGMENTATION; LUNG NODULES; LUNG TISSUES; MOTION ARTIFACTS; NEEDLE BIOPSY; NON-RIGID REGISTRATION; PATIENT MOTIONS; PULMONARY NODULES; SMALL TUMORS; VOLUMETRIC CHANGES; X-RAY IMAGING;

BIOLOGICAL ORGANS; BIOPSY; COMPUTER AIDED ANALYSIS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC RADIOGRAPHY; DIGITAL IMAGE STORAGE; ECOLOGY; FINANCIAL DATA PROCESSING; HEALTH; HISTOLOGY; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING; OPTICAL DATA PROCESSING; PATIENT MONITORING; TOMOGRAPHY;

IMAGING TECHNIQUES;

EID: 48149091618     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379192     Document Type: Conference Paper

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