Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c -means clustering and level set segmentation - Shi, Jiazheng; Sahiner, Berkman; Chan, Heang-Ping; Paramagul, Chintana; Hadjiiski, Lubomir M.; Helvie, Mark; Chenevert, Thomas (Medical physics (Lancaster), 2009)
Keywords: Algorithms; Antineoplastic Agents - therapeutic use; Automation - methods; biological organs; biomedical MRI; Breast - drug effects; Breast - metabolism; Breast - pathology; Breast Neoplasms - drug therapy; Breast Neoplasms - pathology; Cancer; Chemotherapy; Cluster Analysis; Computer simulation; computer‐aided diagnosis; Contrast Media - pharmacokinetics; Female; fuzzy c means; Fuzzy Logic; fuzzy set theory; Humans; Image Processing, Computer-Assisted - methods; image segmentation; level set; Logic and set theory; Magnetic resonance; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Mammography; medical image processing; Medical image segmentation; Medical imaging; Neoadjuvant Therapy; Observer Variation; patient treatment; Radiation Imaging Physics; Radiologists; Segmentation; Surface morphology; Tissues; Treatment Outcome; tumours; fuzzy c means; segmentation; magnetic resonance imaging; computer-aided diagnosis; level set