Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation.
Michael C. YimZhouping WeiJacob AntunesNeil K. R. SehgalKaustav BeraJustin T. BradyKenneth FriedmanJoseph E. WillisAndrei PuryskoRaj M. PaspulatiAnant MadabhushiSatish E. ViswanathPublished in: Medical Imaging: Image-Guided Procedures (2019)
Keyphrases
- lymph nodes
- cancer diagnosis
- lung cancer
- cancer patients
- breast cancer
- automatic detection
- medical images
- prostate cancer
- automatic segmentation
- cancer treatment
- cancer classification
- gene selection
- early detection
- ct data
- low grade
- mr images
- microarray
- clinical applications
- magnetic resonance imaging
- computed tomography
- ct images
- logistic regression
- gene expression profiles
- ct scans
- cross sections
- medical image analysis
- gene expression data
- brain tumors
- image analysis
- patient specific
- clinical data
- brain tumor segmentation