title: [3D Visualization for Computer-Aided Diagnosis in Thoracic CT].
abstract: Medical imaging is one of the major tools that have enriched medical science, disease detection and treatment. Computed tomography (CT) is the most widely used imaging modality in clinical practice for cancer detection, oncologic diagnosis, and treatment guidance. Recent advances in CT imaging technologies allow the high-throughput extraction of informative imaging features to quantify the differences that oncologic tissues exhibit. The development of computer-aided detection/diagnosis (CADe/CADx) systems based on imaging biomakers associated with disease probabilities may become increasingly an attractive field to support clinicians in detecting early-stage diseases and determining risk-adaptive treatments. Three-dimensional visualization for CADe/CADx systems may have a large impact as various imaging modalities are routinely used in clinical practice to improve medical decision-support. In this article, we present some examples of 3D visualization for CADe/CADx systems of thoracic CT images.
authors.forename: Yoshiki
authors.initials: Y
authors.lastname: Kawata
authors.forename: Hidenobu
authors.initials: H
authors.lastname: Suzkxi
authors.forename: Noboru
authors.initials: N
authors.lastname: Niki
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008168:Lung / Q000000981:diagnostic imaging*; D013902:Radiography, Thoracic / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*