Name
Abstract | ||
|---|---|---|
In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomography Colonography (CAD-CTC) as a shape-filtering task. From the extracted candidate surface, we obtain a reliable shape distribution function and analyse it in the Fourier domain and use the resulting spectral data to classify the candidate surface as belonging to a polyp or a non-polyp class. The developed shape filtering scheme is computationally efficient (takes approximately 2 seconds per dataset to detect the polyps from the colonic surface) and offers robust polyp detection with an overall false positive rate of 5.44 per dataset at a sensitivity of 100% for polyps greater than 10 mm when it was applied to standard and low dose CT data. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11866763_11 | MICCAI (2) |
Keywords | Field | DocType |
colonic surface,false positive,reliable shape distribution function,candidate surface,overall false positive rate,computed tomography colonography,automatic detection,low dose ct data,colorectal polyp,robust polyp detection,developed shape,false positive reduction,image processing | False positive rate,Computer vision,Pattern recognition,Computer science,Filter (signal processing),Computed Tomography Colonography,Spectral density,Spectral data,Artificial intelligence,Colorectal Polyp,False positive paradox,Radiographic Image Enhancement | Conference |
Volume | Issue | ISSN |
9 | Pt 2 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-44727-X | 1 | 0.44 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abhilash A Miranda | 1 | 1 | 0.44 |
| Tarik A. Chowdhury | 2 | 17 | 3.12 |
| Ovidiu Ghita | 3 | 234 | 18.12 |
| Paul F. Whelan | 4 | 561 | 39.95 |