A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure

D Mahapatra, P Schueffler, JAW Tielbeek, JM Buhmann, FM Vos

Research output: Contribution to journal › Article › Scientific › peer-review

Cite this

@article{8cdf8d26d5e84ba39a2ff7cfc3635eff,

title = "A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure",

author = "D Mahapatra and P Schueffler and JAW Tielbeek and JM Buhmann and FM Vos",

year = "2013",

language = "English",

volume = "26",

pages = "920--931",

journal = "Journal of Digital Imaging",

issn = "0897-1889",

publisher = "Springer",

}

TY - JOUR

T1 - A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure

AU - Mahapatra, D

AU - Schueffler, P

AU - Tielbeek, JAW

AU - Buhmann, JM

AU - Vos, FM

PY - 2013

Y1 - 2013

M3 - Article

SN - 0897-1889

VL - 26

SP - 920

EP - 931

JO - Journal of Digital Imaging

JF - Journal of Digital Imaging

ER -