For access to this article, please select a purchase option:
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Your recommendation has been sent to your librarian.
Both genetic information and medical images have found extensive use in cancer patient diagnosis and treatment. Integrating the genomics and imaging information will provide valuable information, such as patient prognosis and disease prediction. Imaging features extraction will reveal hidden knowledge inside imaging and allow researchers to interpret tumor biology from various perspectives. We propose a brain tumor 3D localization and segmentation techniques, preliminary statistical analysis of the imaging phenotype and associated gene expression to unmask their correlation indicate that they have an internal association, which may potentially be useful for noninvasive medical research.
Inspec keywords: brain; genetics; image segmentation; statistical analysis; medical image processing; cancer; genomics; patient treatment; feature extraction; tumours
Subjects: Patient diagnostic methods and instrumentation; Probability and statistics; Biology and medical computing; Computer vision and image processing techniques; Other topics in statistics; Probability and statistics; Other topics in statistics; Probability theory, stochastic processes, and statistics; Image recognition; Patient care and treatment; Biomedical measurement and imaging; Patient care and treatment; Genomic techniques