Advanced segmentation techniques for lung nodules, liver metastases, and enlarged lymph nodes in CT scans

IEEE Journal on Selected Topics in Signal Processing

Volumn 3, Issue 1, 2009, Pages 122-134

  Moltz, Jan Hendrik ^a   Bornemann, Lars ^a   Kuhnigk, Jan Martin ^a   Dicken, Volker ^a   Peitgen, Elena ^a   Meier, Stephan ^c   Bolte, Hendrik ^d   Fabel, Michael ^d   Bauknecht, Hans Christian ^e   Hittinger, Markus ^f   Kießling, Andreas ^g   Pusken, Michael ^f   Peitgen, Heinz Otto ^b  

^a FRAUNHOFER MEVIS   (Germany)

^b General Hospital Bremen East   (Germany)

^c UNIVERSITY MEDICAL CENTER MAINZ   (Germany)

^d UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^e CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^f LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^g UNIVERSITY HOSPITAL MARBURG   (Germany)

Author keywords

Biomedical image processing; Computed tomography; Image segmentation; Liver; Respiratory system; Tumors

Indexed keywords

BODY FLUIDS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC RADIOGRAPHY; DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION; IMAGING SYSTEMS; ONCOLOGY; PATHOLOGY; RESPIRATORY MECHANICS; RESPIRATORY SYSTEM; TUMORS;

BIOMEDICAL IMAGE PROCESSING; COMPUTED TOMOGRAPHY; CONVEX PARTS; CT SCANS; DATA-SETS; HYBRID ALGORITHMS; LIVER METASTASIS; LUNG NODULES; LYMPH NODES; MODEL-BASED; MORPHOLOGICAL PROCESSING; SEGMENTATION TECHNIQUES; THERAPY MONITORING; VOLUMETRY;

LIVER;

EID: 62349090994     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2008.2011107     Document Type: Article

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