1. An adaptive paradigm for computer-aided detection of colonic polyps
- Author
-
Huafeng Wang, Lihong C. Li, Perry J. Pickhardt, Hao Han, Zhengrong Liang, Bowen Song, Chris Lascarides, and Matthew A. Barish
- Subjects
Colon ,Colonic Polyps ,Article ,Radiographic image interpretation ,Pattern Recognition, Automated ,Colon structure ,otorhinolaryngologic diseases ,False positive paradox ,Humans ,Radiology, Nuclear Medicine and imaging ,Diagnosis, Computer-Assisted ,Simulation ,Mathematics ,Radiological and Ultrasound Technology ,Extramural ,business.industry ,Colon wall ,Pattern recognition ,digestive system diseases ,Computer aided detection ,Radiographic Image Interpretation, Computer-Assisted ,Local environment ,Artificial intelligence ,business ,Focus (optics) ,Colonography, Computed Tomographic ,Algorithms - Abstract
Most previous efforts in developing computer-aided detection (CADe) of colonic polyps apply similar measures or parameters to detect polyps regardless of 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 the detection of polyps, especially small polyps (
- Published
- 2015