Activities per year
Accurate endoscopic differentiation on resection of colorectal polyps (CRPs) (resect-discard or diagnose-leave strategies) increases cost-efficiency and reduces patient risk. We aim to develop a classification algorithm for automated differentiation of CRPs, by following the validated clinical Work-group serrAted polypS and Polyposis (WASP) classification scheme. Quantitative image features are investigated for each individual WASP criterion and classification is performed by conventional SVM. The technical WASP model results in areas under the curve of 0.87-0.95 and accuracies of 78-89%. Predicting polyp histology using model-based learning out-performs medical experts (accuracy, 87-93% vs 86 87%). Direct classification predicts more premalignant polyps-as being benign, compared to the automated WASP scheme. These errors do not occur when including ROC characteristics to the WASP model. The proposed WASP model is the first automated system, competing with medical expert classification.
|Title of host publication||2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Number of pages||5|
|Publication status||Published - 26 Aug 2019|
|Event||26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan|
Duration: 22 Sept 2019 → 25 Sept 2019
|Conference||26th IEEE International Conference on Image Processing, ICIP 2019|
|Period||22/09/19 → 25/09/19|
Bibliographical notePublisher Copyright:
© 2019 IEEE.
- Colorectal polyps
- Quantitative features
- Coputer-aided diagnosis
- quantitative features
- computer-aided diagnosis
FingerprintDive into the research topics of 'Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models'. Together they form a unique fingerprint.
- 1 Contributed talk
- 3 Citations - based on content available in repository [source: Scopus]
- 1 Conference contribution
Scheeve, T., Schreuder, R-M., van der Sommen, F., IJspeert, J. E. G., Dekker, E., Schoon, E. J. & de With, P. H. N., 13 Mar 2019, Medical Imaging 2019: Computer-Aided Diagnosis: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). Bellingham: SPIE, 8 p. 1095012. (Proceedings of SPIE; vol. 10950).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review