HHS Public Access Author manuscript Author Manuscript
Phys Med Biol. Author manuscript; available in PMC 2015 September 21. Published in final edited form as: Phys Med Biol. 2015 September 21; 60(18): 7207–7228. doi:10.1088/0031-9155/60/18/7207.
An Adaptive Paradigm for Computer-Aided Detection of Colonic Polyps Huafeng Wanga,b, Zhengrong Lianga,*, Lihong C. Lic, Hao Hana, Bowen Songa, Perry J. Pickhardtd, Matthew A. Barisha, and Chris E. Lascaridese aDept.
of Radiology, State Univ. of New York, Stony Brook, NY 11794, USA
Author Manuscript
bSchool
of Software, Beihang Univ., Beijing 10083, China
cDept.
of Engineering Science & Physics, City Univ. of New York, Staten Island, NY 10314, USA
dDept.
of Radiology, Univ. of Wisconsin Medical School, Madison, WI 53792, USA
eDept.
of Medicine, State Univ. of New York, Stony Brook, NY 11794, USA
Abstract
Author Manuscript
Most previous efforts in developing computer-aided detection (CADe) of colonic polyps apply similar measures or parameters to detect polyps regardless their locations under an implicit assumption that all the polyps reside in a similar local environment, e.g., on a relatively flat colon wall. In reality, this implicit assumption is frequently invalid, because the haustral folds can have a very different local environment from that of the relatively flat colon wall. We conjecture that this assumption may be a major cause of missing detection of polyps, especially small polyps (=10mm) polyps has been reported at an acceptance level with comparison to human experts’ or radiologists’ performance, the detection of small (
Phys Med Biol. Author manuscript; available in PMC 2015 September 21. Published in final edited form as: Phys Med Biol. 2015 September 21; 60(18): 7207–7228. doi:10.1088/0031-9155/60/18/7207.
An Adaptive Paradigm for Computer-Aided Detection of Colonic Polyps Huafeng Wanga,b, Zhengrong Lianga,*, Lihong C. Lic, Hao Hana, Bowen Songa, Perry J. Pickhardtd, Matthew A. Barisha, and Chris E. Lascaridese aDept.
of Radiology, State Univ. of New York, Stony Brook, NY 11794, USA
Author Manuscript
bSchool
of Software, Beihang Univ., Beijing 10083, China
cDept.
of Engineering Science & Physics, City Univ. of New York, Staten Island, NY 10314, USA
dDept.
of Radiology, Univ. of Wisconsin Medical School, Madison, WI 53792, USA
eDept.
of Medicine, State Univ. of New York, Stony Brook, NY 11794, USA
Abstract
Author Manuscript
Most previous efforts in developing computer-aided detection (CADe) of colonic polyps apply similar measures or parameters to detect polyps regardless their locations under an implicit assumption that all the polyps reside in a similar local environment, e.g., on a relatively flat colon wall. In reality, this implicit assumption is frequently invalid, because the haustral folds can have a very different local environment from that of the relatively flat colon wall. We conjecture that this assumption may be a major cause of missing detection of polyps, especially small polyps (=10mm) polyps has been reported at an acceptance level with comparison to human experts’ or radiologists’ performance, the detection of small (
